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Relationship between Organizational Commitment, Job Satisfaction, and Positive Psychological Capital in Lithuanian Organizations

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Abstract

The article analyses current research trends on job satisfaction, organizational commitment and positive psychological capital. It also presents some results of the study on the mentioned constructs that were surveyed in various Lithuanian organizations (n=92). The subjects of the study were 44 (47,83 %) men and 48 (52.17 %) women. The methodology used in this survey: to assess personal job satisfaction (Job Satisfaction Survey, Spector, 1985), organizational commitment (Organizational Commitment Questionnaire, Mowday et al., 2000) and positive psychological capital (Psychological Capital Questionnaire, Luthans et al., 2007). It was found that job satisfaction, organizational commitment and positive psychological capital are related constructs. The study also showed statistically significant differences between these constructs and some socio – demographic characteristics. The data of this study revealed that salary is still one of the major motivational factors in Lithuania. The article also discusses what additional studies are essential for further development of research base on organizational and management effectiveness.

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... Besides PLS, positive psychological capital (PsyCap), a relatively new area of study, has been associated with enhanced workplace environment as well as individual performances and organizational success Luthans, 2002;Luthans & Youssef, 2004). Besides, various previous studies have brought in light the social content of PsyCap in organizational relationship building as well as improvement of work and ethical environment (Golparvar & Azarmonabadi, 2014), employee social attitudes and their appropriateness (Larson et al., 2013) and citizenship behavior (Dirzyte et al., 2013;Shahnawaz & Jafri, 2009). Correspondingly, as a WAN itself is a social system, PsyCap should, in theory, affect the formation of advice-sharing ties too and, as a result, the position of actors. ...
... Again, as authentic and implicit leadership are two overlapping concepts, PsyCap should also be related with PLS. Moreover, there are several works that highlight the improvement of organizational social process through PsyCap (Dirzyte et al., 2013;Golparvar & Azarmonabadi, 2014;Harty et al., 2016;Larson et al., 2013;Shahnawaz & Jafri, 2009). This suggests a possible impact of PsyCap on WAN which are themselves social systems. ...
... Positive psychological capital (PsyCap) has vivid influence on an organization as it affects organizational environment and its ethical norms (Golparvar & Azarmonabadi, 2014), employee attitudes and their appropriateness (Larson et al., 2013), commitment and social behavior (Dirzyte et al., 2013;Shahnawaz & Jafri, 2009), leadership (Gupta & Singh, 2014;Norvapalo, 2014), goals accomplishment (Pillay, 2012), employee creativity (Sartori et al., 2013), retention (Ismail et al., 2014) and so on. Consequently, the development of PsyCap in employees has become an important managerial task across globe (Larson et al., 2013;Beal III et al., 2013;Donaldson & Ko, 2010;Harty et al., 2016). ...
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This paper attempts to explore mediation by positive psychological capital (PsyCap) between perceived leadership styles (PLS) and workplace advice network closeness. Fifteen different groups with a composition of 20-25 members were randomly selected in small workplaces which reached a total sample size of 329 cases. Data were collected using a partly-borrowed questionnaire of 30 items (12 for total PsyCap; 18 for PLS) and a sociometric matrix to measure workplace advice network closeness. Results of the categorical regression analyses (CATREG) showed PLS moving from authoritative to laissez-faire reduced the closeness of followers in the workplace advice network. The same shift in the leadership styles from authoritative to laissez-faire improved followers’ PsyCap. Furthermore, an improved PsyCap of the followers tended to improve the closeness centrality. As advice is a very comprehensive term, further studies into knowledge sharing, flow instruction and directions may be carried out to advance the field of knowledge. Further, studies on how individual components of PsyCap affect closeness may also be considered.
... The leader has the desire to belong to an organization and willingness to make extra effort for the benefit of that organization (Dirzyte, Patapas, Smalskys, & Udaviciute, 2013;Luthans, 2012). AKEPT needs to assess the strength of the leader's organizational commitment towards their higher education institution, such as the level of attachment to that organization, his or her willingness to work on behalf of the organization, and also the likelihood of remaining a member of his or her higher educational institution. ...
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This paper presents the development process of talent management in higher education institutions. Specifically, this study aims to identify clusters that best fit the leadership competency framework for those institutions. This study utilizes the qualitative approach via focus group discussion with the Leadership Competency and Instrument Committee in AKEPT, and also by interviews with academics in the public universities. The findings from the focus group discussion and interview demonstrate five clusters of leadership competency skills framework: personnel effectiveness, cognition, leading, impact and influence, and achievement and action. Within these clusters, issues were identified that need to be taken into consideration when selecting future leaders in higher education institutions. Based on the findings, a set of attributes were listed that can be adopted in the future to allow leaders of higher institutional education to enhance their sustainability performance. This paper provides an understanding to interested parties on the attributes of good leaders for higher education institutions. © 2021 by the authors; licensee Asian Online Journal Publishing Group.
... Organizational commitment refers to the strength of an employee's identification with an organization (Porter, Steers, Mowday, & Boulian, 1974). This consists of three components, namely belief in the objectives and values of the organization, working hard for the benefit of the organization, and having a strong desire to continue working for the organization (Dirzyte, Patapas, Smalskys, & Udaviciute, 2013;Luthans, 2012). Hence, AKEPT needs to assess how strong a leader's organizational commitment is towards their institution, their willingness to work on behalf of the organization, and the likelihood of remaining a member. ...
... Studies hold that contemporary business is driven by inter generations of diverse human capital, each vying for vested needs that are increasingly scarce and geometrically valued. Inside business companies, interaction in the workplace--information sharing, decision making, delegation of authority, issuing directives, use of power, coordination of resources, motivation of employees-has been found to affect leadership, hope, and job satisfaction [1,2]. ...
... There are many studies consistently showing that psychological capital is positively related to in-role and extra-role performance and positive attitudes (job satisfaction, organizational commitment, and psychological well-being), while it is negatively related to misbehaviors and negative attitudes (intent to leave, cynicism, work stress, and anxiety) (Avey et al., 2011;Luthans & Youssef-Morgan, 2017). More specifically, related research showed a negative relationship between psychological capital and negative attitudes such as stress (Bradley, 2014), anxiety (Liu et al., 2013), intent to leave (Tüzün, Çetin & Basım 2014), and burnout (Pu, Hou, Ma, & Sang, 2017;Rehman, Qingren, Latif, & Iqbal, 2017;Wang, Chang, Fu, & Wang, 2012); and a positive relationship between psychological capital and positive attitudes such as job satisfaction (Akçay, 2012;Erkuş & Fındıklı, 2013;Çetin & Basım, 2011;Kaplan & Biçkes, 2013;Luthans and Youssef, 2004;Schulz et al., 2014), job involvement (Yüksel & Akdağ, 2011), organizational commitment (Dirzyte, Patapas, Smalskys & Udaviciute, 2013), and motivation (Mortazavi, Yazdi & Amini, 2012). ...
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This study aims to determine the relationship between psychological capital and job satisfaction, organizational commitment, motivation, and the intent to leave. The sample of this study consists of 323 teachers in 25 schools that were selected randomly with clustered sampling method from the schools. The structural equation model that yields the best-fit indices, states that as teachers’ psychological capital levels increase, job satisfaction levels also increase. Psychological capital has a positive effect on teachers’ commitment and motivation through the full mediation effect of job satisfaction. Psychological capital has a negative effect on intent to leave through the full mediation effects of job satisfaction and organizational commitment. It is beneficial for school managers to invest in developing and strengthening the psychological capital of teachers if they want to increase job satisfaction, organizational commitment and motivation levels of teachers and to decrease their intent to leave school. Keywords: teachers, psychological capital, commitment, motivation, job satisfaction, intent to leave
... In organizations like microfinance banks, happy and satisfied employees will be attentive to customers which in turn may help to improve customer satisfaction with the services provided. Employee satisfaction can influence an organization's well-being with regard to job productivity, employee turnover, absenteeism, and life satisfaction (Diržytė, Patapas, Smalskys & Udavičiūtė, 2013). ...
Article
This study examined information acquisition and ICT use as predictors of employee satisfaction in microfinance banks in South-West, Nigeria. Survey research design was used. Multi-stage sampling techniques were used in selecting 600 employees. An average of six respondents was selected from operation and marketing staff of each of the 95 selected banks across the six states in the South western Nigeria. The instruments for data collection were employee satisfaction scale (0.78), frequency of information acquisition of employee questionnaire (0.83) and ICT use scale (0.76). The data was analysed using frequency count, percentage distribution, mean and standard deviation scores and Multiple regression statistics at 0.05 level of significance. Results show that the respondents occasionally acquire information (mean =3.94) in their banks. It also, revealed that microfinance banks in South-West, Nigeria occasionally use ICT in their daily work routine (mean = 3.98. Information acquisition and ICT use when taken together accounted for 5.1 percent of the total variance in employee satisfaction in microfinance banks in South-West, Nigeria. ICT use (β = 0. 440, t = 3.045, p< .05) is shown as the variable highly responsible for the significant combined influence of information acquisition and ICT use on employee satisfaction in microfinance banks in South-West, Nigeria. It is, therefore, necessary for employees of microfinance banks in South-West, Nigeria, to embrace the frequent use of ICT for easy and effective service delivery in order to enhance employee satisfaction.
... Psikolojik sermaye üzerine yurt içi ve yurt dışında yapılan çalışmalar incelendiğinde (Keser ve Kocabaş, 2014;Çetin, Hazır ve Basım, 2013;Polatçı, 2014;Savur, 2013;Berberoğlu, 2013;Battal, 2013;Erkuş ve Fındıklı, 2013;Topkaya ve Korucu, 2018;Cömer ve Yürür, 2017;Çakmak ve Arabacı, 2017;Uygungil ve İşcan, 2018;Herbert, 2011;Avey, Luthans, Smith & Palmer, 2010;Patapas & Smalskys, 2013) otantik liderlik ile psikolojik sermaye arasında anlamlı bir ilişki olduğu, destekleyici örgüt kültürünün psikolojik sermaye üzerinde doğrudan bir etkiye sahip olduğu, psikolojik sermayenin performans üzerinde pozitif yönde etkili olduğu, psikolojik sermayenin iş stresi ve tükenmişlik üzerinde negatif anlamlı bir etkiye sahip olduğu, psikolojik sermaye ile iş tatmini ve örgütsel bağlılık arasında anlamlı bir ilişki olduğu, algılanan örgütsel desteğin çalışanların pozitif psikolojik sermayelerini arttırdığı, pozitif psikolojik sermaye ile örgütsel bağlılık ve iş doyumu arasında anlamlı bir ilişki olduğu, pozitif psikolojik sermaye ile örgütsel sinizm arasında negatif yönlü anlamlı ilişki olduğu sonuçlarına ulaşılmıştır. ...
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p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px 'Minion Pro'; min-height: 14.0px} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; text-align: justify; line-height: 10.1px; font: 10.0px 'Minion Pro'; color: #2d2829} span.s1 {font: 12.0px 'Minion Pro'; color: #000000} Öğretmenlerin pozitif psikolojik sermaye düzeylerini belirlemek amacıyla yapılan bu araştırma, nicel araştırma yöntemlerinden ilişkisel tarama modelinde gerçekleştirilmiştir. Araştırmanın çalışma grubunu, Erzincan il merkezinde bulunan ilkokul, ortaokul ve liselerde görev yapmakta olan öğretmenler arasından rastgele örneklem yöntemiyle seçilen toplam 217 öğretmen oluşturmaktadır. Araştırmadan elde edilen veriler frekans, yüzde, ortalama, standart sapma t-testi ve tek yönlü ANOVA teknikleri kullanılarak analiz edilmiştir. Araştırmadan elde edilen bulgulara göre öğretmenlerin pozitif psikolojik sermaye düzeyleri oldukça yüksek çıkmıştır. Pozitif psikolojik sermaye alt boyutları açısından öğretmenlerin en yüksek ortalamaya sahip oldukları boyut, “güven” boyutu olmuştur. Öğretmenlerin pozitif psikolojik sermaye düzeyleri cinsiyetlerine göre “öz yeterlilik” boyutunda erkek öğretmenlerin lehine anlamlı bir farklılık gösterirken, “umut”, “psikolojik dayanıklılık”, “iyimserlik” boyutlarında ise anlamlı bir farklılık göstermemiştir.
... In work settings, previous studies have shown that overall PsyCap is linked to key organizational and well-being outcomes. Specifically, PsyCap positively predicted several positive employee outcomes including work engagement (Avey, Wernsing, & Luthans, 2008;Simons & Buitendach, 2013), work performance (Luthans, Norman, Avolio, & Avey, 2008), job satisfaction (Dirzyte, Patapas, Smalskys, & Udaviciute, 2013;Luthans et al., 2007;Luthans et al., 2008), wellbeing (Cullbertson, Fullagar, & Mills, 2010;Murray, Pirola-Merlo, Sarros, & Islam, 2010), organizational citizenship behavior (Beal, Stavros, & Cole, 2013;Shahnawaz & Jafri, 2009), and organizational commitment (Shahnawaz & Jafri, 2009). These findings clearly suggest that PsyCap has a role in fostering success in the workplace. ...
Article
Psychological capital (PsyCap) has been associated with key organizational and well-being outcomes. However, limited investigations have been carried out regarding the role of PsyCap in the educational settings. The present study assessed the association of PsyCap with life satisfaction and school belongingness in the academic context. Four hundred and sixty-two Filipino high school students participated in the current investigation. Structural equation modeling showed that PsyCap was positively linked to school belongingness via the intermediate variable life satisfaction. An alternative structural model also provided evidence of the indirect effects of PsyCap on life satisfaction via school belongingness. Theoretical and practical implications of these results are discussed.
... Van Saane et al. (2003), in their investigation of 29 job satisfaction instruments, discovered the JSS yielded Cronbach alpha values of 0.60 to 0.80. The JSS displayed acceptable reliability, with a Cronbach alpha of 0.92 (Diržyté, Patapas, Smalskys, & Udaviciütè, 2013) and 0.91 (Van Saane et al., 2003) in separate studies, and was determined to meet the reliability criteria (Van Saane et al., 2003). In total, the survey consisted of the MLQ (5X) and the JSS. ...
... The significant correlation is similar to results elsewhere. The positive impact of hope on work place satisfaction has been studied in the workplace in the West and East (Dirzyte et al., 2013;Luthans et al., 2008;Luthans et al. 2004). High hope individuals tended to be certain of their goals and challenged by them; value progress towards goals themselves; enjoy interacting with others and readily adapt to new collaborative relationships; are less anxious, especially in evaluations, stressful situations, and are more adaptive in environmental change in their work context (Snyder, 2000;Snyder, 1997). ...
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Whether brick and mortar business or virtual, leaders work industriously to attain company goals and may play a dynamic role in shaping perceptions of positive organizational behavior. Hope has the potential to re engineer organizational structure and bring about a new vibrant culture committed to positive behavior. This study is an exploratory one focusing on the role of hope and job satisfaction when paired with leadership in the business workplace. Research has found that hope is an observable and measurable phenomena in the workplace (Snyder 2005; Luthans 2007). This case focuses on perceptions of business leadership, hope, and job satisfaction inside business units in the Middle East and North African Region (MENA). The aim of this paper is twofold: (1) to determine whether business leaders are perceived as hopeful and (2) to correlate perception of hope to perception of job satisfaction. Data was gathered using a survey; analysis was conducted; recommendations were made based on the results.
... The significant correlation is similar to results elsewhere. The positive impact of hope on work place satisfaction has been studied in the workplace in the West and East (Dirzyte et al., 2013;Luthans et al., 2008;Luthans et al. 2004). High hope individuals tended to be certain of their goals and challenged by them; value progress towards goals themselves; enjoy interacting with others and readily adapt to new collaborative relationships; are less anxious, especially in evaluations, stressful situations, and are more adaptive in environmental change in their work context (Snyder, 2000;Snyder, 1997). ...
Conference Paper
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Hope is a critical element in the business environment. In the developed world, competitive businesses are functional: yet functional managers are business leaders who are most successful when leading and performing with hope. Research has also shown that positive and hopeful leaders cognizant of the organizational resource environments, consistently work side-by-side with their followers in order to create a hopeful and productive context. Even though research studies may have explored the role of hope for followers in the developed nations, research studies on the role of hope is still new in the Middle East and North African Area. An essential component in the competitive business context, hopeful millennial leaders may shape job performance, especially in the Middle East and North African Area (MENA). This case study focuses on the emergence of hope and job performance inside business self-directed work teams (SDWT). As a research study, the aim of this paper is threefold: (1) whether the leader is perceived as hopeful; (2) whether the followers perceive themselves as hopeful and (3) whether the level of hope is correlated to the level of job performance. In line with this, three research questions were generated. The participants in this study attend a private English speaking university in the Middle East and North African Area (MENA) and belong to the faculty of business administration and economics. Sixty-one were selected as participants. 17 are employed in domestic or foreign companies. There are 14 females and 47 males. The participants, as members in business units composed of five, are assigned a business project across six weeks. The project requires that all members participate. Data was gathered using a survey; analysis was conducted; recommendations were made based on the results.
... Psychological capital has different advantages in business. It leads to an increase in performance ( Luthans et al. 2005; Peterson and Byron 2008), greater levels of job satisfaction (Çetin 2011; Diržytė et al. 2013; Larson and Luthans 2006;), commitment to the organisation (Etebarian et al. 2012; Çetin 2011; Larson and Luthans 2006), and work well-being (Avey et al., 2010; Culbertson, Fullagar and Mills, 2010), organisational support (Hui, Cao, Lou and He, 2014) as well as the climate related to leadership (McMurray, Merlo, Sarros and Islam, 2010; Naran, 2013). All these factors ultimately benefit the organisation. ...
Conference Paper
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Investigating the relationship between Ethical Climate and Psychological Capital Ms Lindiwe Sibiya Ms Thelma Makoni Prof René van Wyk vanwyk.rene@uj.ac.za * Corresponding author Department of Industrial Psychology and People Management, Faculty of Management, University of Johannesburg ABSTRACT Ethical climate and psychological capital play an important role in the behaviouremployees. This quantitative investigation scrutinises the prediction of psychological capital (resilience, hope, self-efficacy and optimism) by the ethical climate (codes of caring, instrumental, rules, independence and laws). A total of 101 individuals from a banking branch in Gauteng South Africa took part. Principal Component with Direct Oblimin Rotation and Confirmatory Factor Analyses were used to verify the construct validity of the Psychological Capital and Ethical Climate scales. Structural Equation modelling and Confirmatory Factor Analysis with AMOS, determined the significance of prediction of psychological capital by means of the ethical climate scales. The caring and rules ethical climate factor significantly positively predicted optimism and hope. Both caring and rules as well as independence ethical climate scales significantly positively predicted self-efficacy. The instrumental ethical climate scale significantly negatively predicted adverse resilient experiences, and ethical climate. Law, code and caring significantly positively predicted positive resilient reactions and self-efficacy. The findings are an indication to management that the more employees experience ethical codes and law being enforced, the more resilient, optimistic and hopeful they are. INTRODUCTION Ethical climate forms an important part of the larger organisational climate (Cullen, Victor and Bronson, 1993). It determines policies, procedures, and processes that lead to moral and ethical outcomes (Mulki, Jaramillo and Locander, 2008). Ethical work climate forms the basis of employees’ attitudes and behaviours towards business ethics (Shafer, 2015). Qadeer and Jeffery (2014) reason that organisational climate could possibly guide and inspire employees’ psychological capital. The term ‘psychological capital’ is drawn from the emerging positive psychological movement, which focuses on strengths of individuals rather than their weaknesses (Luthans, Luthans and Luthans, 2004). Positive ethical climate components at individual level could empower employees by advancing psychological capital (Golparvar and Azarmonabadi 2014). The shift from social and human capital to positive psychological capital emphasises the importance of employees overcoming challenges encountered in organisations (Luthans et al., 2004). Human capital plays an important role in this regard. It is an intangible asset of the value that an individual contributes to the business and assists in remaining competitive (Luthans et al., 2004). Human capital emphasises the “who I am”. This form of self-acknowledgment is as important as “who I know” and “what I know” in business. Positive Psychological capital: “who I am” is defined as the positive psychological state of an individual that comprises of self-efficacy, hope, optimism and resilience (Luthans, Youssef and Avolio, 2007). Psychological capital has different advantages in business. It leads to an increase in performance (Luthans, Avolio, et al. 2007; Luthans et al. 2005; Peterson and Byron 2008), greater levels of job satisfaction (Çetin 2011; Diržytė et al. 2013; Larson and Luthans 2006; Luthans, Avolio, et al. 2007), commitment to the organisation (Etebarian et al. 2012; Çetin 2011; Larson and Luthans 2006), and work well-being (Avey et al., 2010; Culbertson, Fullagar and Mills, 2010), organisational support (Hui, Cao, Lou and He, 2014) as well as the climate related to leadership (McMurray, Merlo, Sarros and Islam, 2010; Naran, 2013). All these factors ultimately benefit the organisation. These advantages lead business to a competitive advantage and organisational success (Luthans, Avey, Avolio and Peterson, 2010). Problem statement The relationship between ethical climate and psychological capital should not be underestimated, considering the important roles they both play in effective business functioning. As far as could be established, only the Golparvar and Azarmonabadi (2014) study, done on 267 employees of a railway company in Iran, has investigated the prediction of psychological capital by means of ethical climate. It is not clear to what extent ethical climate influences psychological capital in the South African context. Research Questions 1. Is the Ethical Climate Scale portable to the SA sample? 2. Is the Psychological Capital Scale portable to the SA sample? 3. Does Ethical Climate predict Psychological Capital? Research aim and objectives This investigation is directed at the prediction of psychological capital by ethical climate, similar to the Golparvar and Azarmonabadi (2014) study. The objective of this research is to apply the knowledge in organisations by making them aware of the possible outcomes of ethical climate practices on the psychological capital of employees. LITERATURE REVIEW There is a growing interest in the ethical responsibility and enforcement of ethical behaviour in businesses reflected on the bases of legal judgements against organisations (Victor and Cullen 1988). The psychological perceptions of ethical policies and procedures that govern a company may affect employees’ behaviour and emotions in the work environment (Golparvar and Azarmonabadi 2014). Organisational ethical climate, through the development and enforcement of ethical policies may play an important role in employees’ perceptions of right or wrong, moral and psychological commitment. A lack of leadership behaviour and poor working conditions may change the perceptions of employees (Ascigil and Parlakgumus 2012) to the detriment of the organisation. Ethical climate is defined as “prevailing perceptions of typical organisational practices and procedures that have ethical content” (Victor and Cullen 1988:101) Ethical climate also focuses on the values, procedures and regulations within the organisation that include moral behaviour and attitudes (Birtch and Chiang 2014). It shapes ethical behaviour and aids members in distinguishing between appropriate and inappropriate behaviour in the organization (Hung and Tsai 2016). Ethical climate is therefore a shared perception amongst employees in an organisation, which includes company policies, procedures and practices (Guerci, Radaelli, Siletti, Cirella and Rami Shani, 2015). It further directs an organisation’s behaviour towards organisational support, rewards and ethics. An ethically sound environment may lead to positive outcomes work attitudes, values and behaviour such as work performance and job satisfaction (Aşcigil and Parlakgümüş 2012). Ethical climate and its dimensions and principles Victor and Cullen (1988), provide an ethical climate grid of two dimensions, with 3 components in a grid that leads to nine different principles. This grid identifies five ethical climate types: instrumental, caring, independence, rules as well as law and code (Aşcigil and Parlakgümüş 2012: 402). The two ethical climate dimensions of criterion and locus of analysis are verified on the ethical criteria of egoism, benevolent and principle, accommodating the ethical climate types. The Victor and Cullen (1988) grid is adapted by the current authors and presented in Table 1, incorporating the different dimensions, principles and types. TABLE 1 VICTOR AND CULLEN (1988) DIMENSIONS AND PRINCIPLES OF ETHICAL CLIMATE TYPES THAT PLAY A ROLE IN ETHICAL DECISIONS (ADAPTED BY CURRENT AUTHORS) Dimension 1: Ethical Criterion Dimension 2: Locus of Analysis (individual concerns in ethical decisions) Individual Local Cosmopolitan Egoism Self-interest (instrumental) Company profit (instrumental) Efficiency (caring) Benevolence Friendship (caring) Team interest (caring) Social responsibility (caring) Principles Personal morality (independence) Company rule (rules) Law and professional code (law and code) Victor and Cullen (1988) used two dimensions to describe ethical climate types dealing with ethical decision making in an organization, namely (1) ethical criterion, and (2) locus of analysis. These two dimensions are supported by instrumental, caring, independence and law/code practices. The ethical criterion dimensions consist of egoism, benevolence and principles (Victor and Cullen 1988; Aşcigil and Parlakgümüş 2012). The locus of analysis dimension has three categories; individual, local and cosmopolitan levels of analyses (Shacklock et al. 2011; Aşcigil and Parlakgümüş 2012). A climate of egoism refers to self-serving behaviour of individuals (Aşcigil and Parlakgümüş 2012; Guerci et al. 2015) in gaining awards and preventing punishment (Tseng and Fan 2011). Contrary to egoism, individuals who care about the well-being of co-workers are guided by benevolent, altruistic behaviour (Aşcigil and Parlakgümüş 2012; Guerci et al. 2015; Shafer 2015). The principle ethical criterion refers to employees adhering to rules and regulations established by organisations (Aşcigil and Parlakgümüş 2012; Guerci et al. 2015). The three ethical climate criteria dimension of egoism, benevolence and principle are interpreted in relation to the local analysis dimension of individual, local and cosmopolitan, forming the nine principles (Aşcigil and Parlakgümüş 2012; Victor and Cullen 1988) depicted in Table 1. • The individual locus of analysis is an indication of the individual’s moral reasoning concerning personal benefits, values and beliefs. An individual locus of analysis could lead to actions of self-interest, friendship seeking or moral independence. All these actions take place on the three ethical climate levels or respectively egoism, benevolence and principles. • The local locus of analysis, refers to the local application in the organisation (Rothwell and Baldwin 2007; Shafer 2015), implicating company profit, team interest and application of company rules on the three respective ethical climate levels. • The cosmopolitan (community or societal) locus of analysis, is the action in the interest of the public and society, external to the organisation (Guerci et al. 2015; Rothwell and Baldwin 2007; Shafer 2015). This takes place on the respective egoism, benevolence and principle levels of efficiency, social responsibility and law and professional code applied by an organisation. The instrumental, caring, independence and law/code practices are described as (Aşcigil and Parlakgümüş 2012; Victor and Cullen 1988): • Instrumental climate relates to decision making, based on self-interest imposed by self-guidance or organisationally directed (Aşcigil and Parlakgümüş 2012). • Caring refers to prioritising the well-being of stakeholders (Atabay, Cangarli and Penbek, 2015) that bonds friendships and sees to the well-being of others (Aşcigil and Parlakgümüş 2012; Shacklock et al. 2011). Therefore, a caring climate encourages good behaviour and work engagement (Schwepker and Schultz 2015). • Independence is the independent conscience, devoted behaviour to moral principles (Wang and Hsieh 2012), that alleviates moral distress (Atabay et al., 2015). • Law/code provides the regulations by which employees follow, apply and enforce ethical rules and practices (Aşcigil and Parlakgümüş 2012). The ethical climate experienced in a business may contribute to the psychological capital security of individuals. Defining Psychological Capital The investment in psychological capital may help organisations to increase their competitive advantage and preserve their human capital (Luthans, Youssef, et al., 2007). Psychological capital is the positive “psychological state of development” of an individual (Luthans, Youssef, et al. 2007:3) characterized by hope (the desire to become successful), self-efficacy (the confidence to achieve challenging tasks) resilience (the ability to bounce back from failure or set- backs) and optimism (responding effectively to positive and negative situations). Psychological capital focuses on the establishment of strengths and virtues that will allow individuals to be content with themselves and their work (Wu, 2015). Such individuals are focused less on their personal psychological problems. The practical strengths provided by psychological capital practices may minimize stress levels and turnover rates (Avey, Luthans and Jensen, 2009), improving the psychological growth of employees (Şahin, Cubuk and Uslu, 2014). The four components of psychological capital, of hope, self-efficacy, resilience and optimism (Avey et al., 2009) are explained accordingly. Hope refers to the self-motivation of becoming successful in personal, spiritual and occupational aspects of life (Hsu, Wang, Chen and Dahlgaard-Park, 2014). Hopeful individuals tend to show a willingness and have the means to achieve goals (O’Donohue, Martin and Torugsa, 2015). Should goal plans be blocked, individuals tend to creatively generate alternative options to gain solutions. Hope develops from the successful interactive exchange between agency and pathways to gain a positive motivational state (Avey et al., 2010) that drives perseverance and redirects goals (Hsu et al., 2014). Agency and pathway thinking are reciprocal in the maintenance of hope. Agency involves determination and self-driven forces in attaining goals through pathways of cognitive abilities and strategies aspiring certain outcomes (Avey et al., 2010). A person with an increased level of agency thinking will be motivated to draw up strategies, applying pathways alternatives to plan ambitions. People with high levels of hope are open-minded and persevere in seeking alternative strategies to achieve success (Hsu et al., 2014). Self-efficacy is the confidence of the individual that success at a task will transpire by applying the necessary effort (Luthans, Youssef, et al., 2007). Self-efficacy is a motivational construct that assist individuals to remain goal oriented, continue to persevere in challenging tasks, build confidence and create coping methods to achieve desired goals. People who have high self-efficacy believe that they possess abilities to accomplish tasks, which lead to increased confidence and motivation. Self-efficacy plays an important role in decisions made in business, which may influence the goals, commitment, efforts and motivation of employees (Hsu et al., 2014). Resilience is a competence presented in turbulent situations and an ability to recover when confronted with uncertainty (Luthans et al. 2004). Resilience is also regarded as a “fortitude” (Şahin et al., 2014). It is an ability to remain motivated, rapidly provide solutions to progress and increase performance, notwithstanding setbacks or challenges. Resilience is seen as the positive attribute that motivates an individual to stand firm, regardless of failure and challenges (Hsu et al., 2014). People with high resilience adapt very well when an organisation is going through changes and adversities. Such people are open to new challenges, often seeing it as an opportunity. Resilient individuals strive for success and don’t give up when faced with setbacks or negative feedback. Individuals with a resilient mind-set focus on positive and critical thinking strategies when enduring setbacks (Hsu et al., 2014). Optimism is defined as the descriptive way of providing explanations in response to good or bad experiences (Seligman, 1988). Optimistic individuals provide an internal, stable, and global attributions to positive events and external, unstable attributes of negative events (Hsu et al., 2014). Optimistic individuals tend to assess positive outcomes as permanent, and negative outcomes as temporary (Luthans et al., 2004). People with an optimistic view are optimistically orientated to expect outcomes to be positive, opposed to pessimistic people who tend to expect negative results (Hsu et al., 2014). Being optimistic assists in remaining motivated in the face of adversities. When confronting challenges, optimistic individuals remain calm and persevere. This is opposed to pessimistic individuals, who consider quitting when situations are tough. Optimism should be faced realistically, as unrealistic optimism could also lead to stress and anxiety. The relationship between Ethical climate and Psychological Capital Ethical climate has different organizational outcomes that could lead to psychological well-being, job satisfaction, commitment, and if unhealthy, to deviant behaviours (Wang and Hsieh 2012). As far as could be determined, only the Golparvar and Azarmonabadi (2014) study investigates the impact of ethical climate on psychological capital. This study was done in a sample of 267 employees in a railway company in Iran. The current study seeks to investigate this prediction in a South African sample. METHOD This study is aimed to investigate the psychometric properties of the two instruments: Ethical Climate Questionnaire (Victor and Cullen 1988) and Psychological Capital Questionnaire (Luthans, Youssef, et al., 2007), as well as the prediction of ethical climate with psychological capital as the outcome variable. Participants Participation was gained from a Gauteng branch of a bank. Participants were selected from white collar workers and comprised of a diverse socioeconomic background, including different age groups, gender, level of education, language, and level of position. Socio-demographic characteristics suggest that non-response bias is unlikely to be present in the data collection (Saunders, Lewis and Thornhill, 2009). Permission was gained from the bank in the Johannesburg branch to contact employees per email to participate. The total number of participants were 101: 37 males (36.6%) and 64 were females (63.4%) in a female dominant in sector. Participants’ ages range from 18 to 64. The largest number of participants have grade 12 or equivalent (50.5%), 24 diplomas or BTech (23.8%), 17 bachelor’s (16.8%), six honours (5.9%), two master degrees (2%) and one participant did not indicate educational level. The largest proportion of respondents 75 (74.3%) were from non-management, followed by top-management 26 (25.7%). Sampling Procedure A census sampling procedure was used to collect data from every possible member of the group in the population (Saunders et al., 2009), in this case a large branch of a bank. This bank branch forms part of a larger population of the banking sectors in Gauteng Johannesburg, and South Africa. A total of 6.7% individuals responded, this is only 101 out of a census of 1500 individuals at one branch. This aim was to target all levels in the organisation: top management, middle management and non-management. Only middle management and non-management responded. Measuring Instruments The questionnaire consisted of biographic, demographic information, and two questionnaires: Ethical Climate Questionnaire (Victor and Cullen 1988) and the Psychological Capital Questionnaire (Luthans, Youssef, et al., 2007). Ethical Climate Measure Organisational ethical climate was evaluated by means of the Ethical Climate Questionnaire developed by Victor and Cullen (1988). This questionnaire comprised of twenty six items measuring five sub-scales: caring, law and code, rules and procedures, instrumental and independence (Aşcigil and Parlakgümüş 2012). Golparvar and Azarmonabadi (2014) report Cronbach Alphas ranging from 0.76 to 0.89, caring (0.89), rules and law (0.85), service (0.79) and independency (0.76). Responses were measured on a 6-point Likert-type scale ranging from completely false (0) to completely true (5) (Victor and Cullen 1988). An example item for law and code from this questionnaire is: “In this company, the law or ethical code of their profession is the major consideration” (Victor and Cullen 1988:122). Psychological Capital The Psychological Capital Questionnaire developed by Luthans, Youssef, et al. (2007) comprises of 24 items, measuring four subscales: hope, optimism, resilience and self-efficacy. Responses are measured on a 6-point Likert scale ranging from strongly disagree to strongly agree, from 1= strongly disagree, to 6 = strongly agree. Luthans et al. (2007) report Cronbach Alphas as: hope (0.88), resilience (0.89), efficacy (0.89), and optimism (0.89). An example of an item is: “I feel confident in representing my work area in meetings with management” (Luthans et al., 2007:555). Analyses The questionnaire was distributed in the bank branch per email. SPSS was used to validate the instruments. Data was inspected for misplaced values. The plausibility of the values was identified by evaluating the minimum and maximum values as well as mean and standard deviation values. Skewness coefficients of >2 and kurtosis of >4 was used to exclude outliers or unsatisfactory items and fell within the prescribed parameters (Davis, Pecar, Santana and Burke, 2014). Investigation of the internal consistency reliability of both scales was undertaken by means of Cronbach Alpha, Principal Exploratory, and Confirmatory Factor Analysis. Items with weak or cross-loadings were removed, should the absolute loading be less than 0.30 or the difference between loadings is less than 0.30. Once the structure of the instruments was investigated the prediction of psychological capital by ethical climate was investigated by a Structural Equation Model. RESULTS The results are interpreted to answer the research questions: Research Question 1: Does the Ethical Climate scale measure reliably? In addressing research question one, Exploratory and Principal Factor Analysis was done. Four factors had Eigen values greater than one, confirmed by the Scree test, levelling off from the fourth factor. The Principal Factor Analysis with Oblimin Kaiser Rotation showed the patter matrix loadings in Table 2. TABLE 2 PATTERN MATRIX OF THE ETHICAL CLIMATE SCALE BY MEANS OF PRINCIPAL FACTOR ANALYSIS WITH OBLIMIN KAISER ROTATION Item Law/ code/care Instru-mental Caring & Rules Indepen-dence People are expected to comply with the law and professional standards over and above other considerations 0.968 0.018 0.101 0.009 In this company, people are expected to strictly follow legal or professional standards 0.902 0.008 -0.018 -0.003 In this company, the law or ethical code of our profession is the major consideration 0.899 -0.078 0.022 -0.020 Everyone is expected to stick by company rules and procedures 0.884 0.061 0.038 -0.020 It is very important to follow the company's rules and procedures here 0.870 0.075 -0.065 0.107 In this company, the first consideration is whether a decision violates any law 0.728 -0.082 -0.128 -0.066 In this company, it is expected that you will always do what is right for the customers and public 0.545 0.075 -0.264 -0.014 In this company, each person is expected above all to work efficiently 0.534 0.049 -0.095 -0.190 People here are concerned with the company's interests-to the exclusion of all else 0.119 0.780 -0.152 0.107 There is no room for one's own personal morals or ethics in this company -0.036 0.708 -0.024 0.127 People are expected to do anything to further the company's interests, regardless of the consequences -0.163 0.701 0.042 -0.148 Work is considered substandard only when it hurts the company's interests 0.046 0.641 0.081 -0.198 The major responsibility of people in this company is to control costs 0.141 0.519 0.086 -0.084 The major consideration here is what is best for everyone in the company -0.054 -0.020 -0.923 -0.064 The most important concern is the good of all the people in the company as a whole -0.075 -0.054 -0.910 -0.170 In this company, people look out for each other's good -0.035 0.006 -0.785 -0.052 Our major concern is always what is best for the other person 0.077 0.120 -0.718 -0.033 Successful people in this company go by the book 0.135 -0.038 -0.704 0.102 People in this company strictly obey the company policies 0.156 -0.029 -0.675 0.106 In this company, people are guided by their own personal ethics 0.094 -0.101 0.059 -0.887 Each person in this company decides for themselves what is right and wrong 0.013 089 012 0.812 In this company, people are expected to follow their own personal and moral beliefs 0.038 -0.014 -0.116 -0.673 The most important concern in this company is each person's own sense of right and wrong -0.063 0.245 -0.166 -0.632 Table 2 depicts the factor loadings of the four factors of ethical climate, with the loadings in bold: Factor 1 (Law and code/ caring), Factor 2 (Instrumental), Factor 3 (Caring and Rules), and Factor 4 (Independence). The inter-correlation of the four factors is reported in Table 3. TABLE 3 ETHICAL CLIMATE INTER-CORRELATION OF THE FOUR COMPONENTS Factor Law and code/caring Instrumental Caring and rules Independence 1 1.000 0.190 -0.524 -0.178 2 0.190 1.000 -0.071 -0.328 3 -0.524 -0.071 1.000 0.247 4 -0.178 -0.328 0.247 1.000 Table 3 indicates a weak inter correlation between the four ethical climate factors. This indicates that the four factors are independent. A Confirmatory Factor Analysis of the four factors of ethical climate indicated a good fit with the data according to Hair, Black, Babin, Anderson and Tatham (2006). The indices are reported as: Bentler-Bonnet Non-Normed Fit = 0.92; Comparative Fit Index = 0.93; Bollen’s Fit Index= 0.96. The Root Mean-Square Error of Approximation approached zero at 0.07, falling within the 90% confidence interval of between 0.06 and 0.09. The Cronbach Alpha for the total scale was 0.890. The individual reliabilities of the scales had strong Cronbach Alphas: law and code/caring (0.94), instrumental (0.82), caring and rules (0.92), and independence (0.86). In answering research question 1, though the final 4-component structure measures reliably, it did not replicate the nine factors of the original scale. Research Question 2: Does Psychological Capital scale measure reliably? Exploratory and Principal Factor Analysis with Oblimin Kaiser Rotation indicated four components with Eigen values above one, supported by a Scree Plot levelling off after the forth factor. For this reason and due to the four factors of the original instrument, a four factor Principal Factor Analysis with Oblimin Kaiser Normalization was done. The pattern matrix loadings are reported in Table 4. TABLE 4 PATTERN MATRIX OF THE PSYCHOLOGICAL CAPITAL SCALE BY MEANS OF PRINCIPAL FACTOR ANALYSIS WITH OBLIMIN KAISER ROTATION Item Optimism/Hope Self-efficacy Adverse resilient experiences Positive Resilient reactions I approach this job as if "every cloud has a silver lining" 0.919 -0.370 0.069 0.377 I always look on the bright side of things regarding my job 0.796 -0.526 0.109 0.538 At this time, I am meeting the work goals that I have set for myself 0.769 -0.445 0.075 0.533 When things are uncertain for me at work, I usually expect the best 0.712 -0.283 0.067 0.344 I'm optimistic about what will happen to me in the future as it pertains to work 0.688 -0.322 -0.028 0.372 I feel confident contributing to discussions about the company's strategy 0.549 -0.874 -0.014 0.346 I feel confident helping to set targets/goals in my work area 0.435 -0.856 -0.086 0.236 I feel confident presenting information to a group of colleagues 0.425 -0.841 0.107 0.528 I feel confident in representing my work area in meetings with management 0.483 -0.820 0.112 0.576 I feel confident contacting people outside the company (e.g., suppliers, customers) to discuss problems 0.305 -0.758 0.040 0.277 When something can go wrong for me at work wise, it will -0.173 0.212 0.656 -0.303 In this job, things never work out the way I want them to 0.163 -0.071 0.650 0.078 When I have setback at work, I have trouble recovering from it, moving on 0.035 -0.101 0.426 -0.124 I can be "on my own", so to speak at work if I have to 0.439 -0.382 -0.178 0.793 I can get through difficult times at work because I have experienced difficulty before 0.474 -0.477 -0.105 0.769 I usually manage difficulties one way or another at work 0.377 -0.316 -0.123 0.715 I usually take stressful things at work in stride 0.330 -0.117 -0.080 0.526 Table 4 depicts the factor loadings of the four factors of psychological capital: Factor 1 (Optimism/Hope), Factor 2 (Self-efficacy), Factor 3 (Resilience to adverse experiences), Factor 4 (Positive Resilient reactions). Table 5 illustrates the inter-correlation if the four psychological capital factors. TABLE 5 PSYCHOLOGICAL CAPITAL INTER-CORRELATION OF THE FOUR FACTORS Factor Optimism/Hope Self-efficacy Resilience adverse experiences Positive Resilient reactions Optimism/ hope 1.000 -0.436 0.051 0.490 Self-Efficacy -0.436 1.000 -0.034 -0.357 Adverse Resilient Experiences 0.051 -0.034 1.000 -0.129 Positive Resilient reactions 0.490 -0.357 -0.129 1.000 Table 5 shows a high common variance (24%) between optimism/hope with positive resilient reactions. All the other factors had a weak inter-correlation, showing their independence. The Confirmatory Factor Analysis of the four-factor Psychological Capital Scale showed a reasonable fit with the data according to Hair et al. (2006), with Indices varying between 0.89 Bentler-Bonnet Non-Normed Fixed Index and 0.90 Bollen’s and McDonald’s Indices. Root Mean-Square Error of Approximation (RMSEA) was approaching zero at 0.10 falling within the 90% confidence interval of between 0.08 and 0.120. In answering research question two, the Principal Factor Analyses with Kaiser Oblimin rotation delivered four factors that measured reliably. The four factors did however did not replicate the 24 items of the original Luthans et al. (2007) scale. Only 17 of the original 24 items loaded at an acceptable level >0.300. Items that loaded <0.30 or cross-loaded more than 0.25 were deleted from the analysis. The factor loadings differed from the original loadings. Where the original scale had four factors measuring self-efficacy, hope, resilience and optimism, the current scale measured optimism and hope on one scale, self-efficacy on another scale, and resilience was split into two scales: adverse resilient experiences and positive resilient reactions. Research Question 3: Can Ethical Climate predict Psychological Capital? The prediction of Psychological Capital by Ethical Climate factors are presented in Figure 1. In the Structural Equations Model, Ethical Climate factors are the independent variables and Psychological Capital factors are the dependent variables. The asterisk shows statistical significance at 95% level of significance. FIGURE 1 STRUCTURAL EQUATION MODEL: ETHICAL CLIMATE PREDICTION OF PSYCHOLOGICAL CAPITAL Figure 1 indicates a significant positive prediction of psychological capital factor 1 (optimism and hope) by ethical climate factor 3 (caring and rules). Psychological capital factor 2 (self-efficacy) was significantly positively predicted by the ethical climate factor 3 (caring and rules) and factor 4 (independence). Psychological capital factor 3 (resilience adverse experiences) was significantly negatively predicted by ethical climate factor 2 (instrumental). Psychological capital factor 4 (positive resilient reactions) was significantly positively predicted by ethical climate factor 1 (law and code/caring). Therefore it can be concluded that there is a significant prediction of psychological capital components by some of the ethical climate scales. The Confirmatory Factor Analysis of the Structural Equation Model, Figure 4.3, shows a weak fit with the data; Bentler-Bonnet Non-Normed Fit Index = 0.80, Comparative Fit Index = 0.82, and Bollen’s Fit Index =0.83. Root Mean-Square Error of Approximation was at an acceptable level at 0.06, approaching zero and falling within the 90% confidence interval of between 0.05 and 0.07. Further research with larger samples need to be done to verify the generalizability of these findings. DISCUSSION This study aimed to evaluate the prediction of ethical climate (laws and code, rules, caring, independence and instrumental) with psychological capital as an outcome variable (hope, self-efficacy, resilience and optimism). A number of predictions were achieved from this study. These results are similar to those obtained in the Golparvar and Azarmonabadi (2014) study where self-efficacy and hope is significantly predicted by service and independence, resiliency is significantly predicted by laws and rules, while self-efficacy was predicted by service. These significant influences are an indication that well governed ethical policies could lead to other positive outcomes in business such as lower turnover, work commitment, increased performance and an overall healthy psychological climate. The main research question was answered by means of the Structural Equation Model. The findings predicted that psychological capital Factor 1 optimism and hope, was predicted significantly by ethical climate factor 3, caring and rules. This is an indication that the more people experience caring and rules the more optimism and hope they experience. Psychological capital Factor 2, self-efficacy was significantly predicted by ethical climate Factors 1 (law and code), Factors 3 (caring and rules) and Factor 4 (independence). This means that the more people abide and care about laws and rules, and are self-driven to comply to moral behaviour, the higher their self-efficacy. Psychological capital Factor 3, resilience to adverse experiences, was significant negatively predicted by ethical climate factor 2, instrumental. This is an indication that the more the company is concerned about its self-interest and cost control, than its moral interests, the significantly less resilient people become. Psychological capital factor 4, positive resilience was significantly positively predicted by law/code and caring. This is an indication that the more confidence there is in the application of law, code and caring in the business, the more resilient people become, as they probably feel protected by the enforcement of rules. Limitations and future research This study is South African based, in only one large branch of a national bank. The results are not fully generalizable. As this sample is selected in a bank branch, it is not representative of other branches in the bank, other business sectors in South Africa, or to other countries. The sample size was rather small, which could have led to the fact that the factors of the two instruments did not load similar to the original instruments. Future research should duplicate the study across different organisations in South Africa and in other countries. The ethical climate framework is very complex. Researchers will have to explore the dynamics of ethical climate more in depth to understand the core principles and ethical climate types and the possible influence in business. Psychological capital could play a significant role in organisations. Practical guidelines should be developed to improve psychological capital excellence in organisations. The possible reciprocal effect of psychological capital on ethical climate should also be investigated. Contribution This study contributes to the existing knowledge of ethical climate and psychological capital. The difference in the factor loadings of the Ethical Climate Questionnaire (Victor and Cullen 1988) and Psychological Capital Questionnaire (Luthans, Youssef, et al., 2007) is informative. Only four factors featured in the factor analysis of the Ethical Climate Questionnaire (Victor and Cullen 1988), instead of the nine original factors. The factor loadings of the Psychological Capital Questionnaire (Luthans, Youssef, et al., 2007), indicates that this sample does not differentiated between hope and optimism, while resilience is seen as either positive controllable, or negative incontrollable. The prediction of psychological capital by means of ethical climate is a first in South Africa. Implications for management The indication is that people find it challenging to remain resilient when companies do not take ethical rules seriously. Management should be aware that the more people are aware that ethical codes and law are enforced, the more resilient, optimistic and hopeful their work-force will be, possibly feeling protected and secure by strict and enforced rules. This means that rules alone do not provide the protection; it is also the enforcement of the rules that encourages individuals to remain hopeful, optimistic and resilient with strengthened self-efficacy. 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Conventional wisdom and recent research have supported the importance of employee positivity. However, empirical analysis has not yet demonstrated potential added value of recently recognized psychological capital over the more established positive traits in predicting work attitudes and behaviors. This study found that psychological capital was positively related to extrarole organizational citizenship behaviors (OCBs) and negatively to organizational cynicism, intentions to quit, and counterproductive workplace behaviors. With one exception, psychological capital also predicted unique variance in these outcomes beyond demographics, self-evaluation, personality, and person—organization and person—job fit. The article concludes with implications for future research and practical application.
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This study investigated the relationships of demographic factors (age, marital status, gender, job tenure, and educational level), emotional intelligence, work-role salience, achievement motivation and job satisfaction to organizational commitment of industrial workers. Participants were 320 employees (male = 170, female = 150) randomly selected from 5 service and 5 manufacturing organizations in Oyo State, Nigeria. Measures of biographical data, emotional intelligence, work-role salience, achievement motivation, job satisfaction and organizational commitment were administered on the sample. Hierarchical multiple regression analysis was used to analyse the data collected. Results showed that emotional intelligence, work-role salience, achievement motivation, job satisfaction and all demographic factors except gender significantly predicted organizational commitment of the workers. Findings suggest the need for organizational managements and psychologists to consider the factors investigated when designing programmes for increasing the organizational commitment of the workers.
Article
Recently, theory and research have supported psychological capital (PsyCap) as an emerging core construct linked to positive outcomes at the individual and organizational level. However, to date, little attention has been given to PsyCap development through training interventions; nor have there been attempts to determine empirically if such PsyCap development has a causal impact on participants' performance. To fill these gaps we first conducted a pilot test of the PsyCap intervention (PCI) model with a randomized control group design. Next, we conducted a follow-up study with a cross section of practicing managers to determine if following the training guidelines of the PCI caused the participants' performance to improve. Results provide beginning empirical evidence that short training interventions such as PCI not only may be used to develop participants' psychological capital, but can also lead to an improvement in their on-the-job performance. The implications these findings have for human resource development and performance management conclude the article.
Article
After first providing the meaning of psychological capital (PsyCap), we present a micro-intervention to develop it. Drawn from hope, optimism, efficacy, and resiliency development, this PsyCap Intervention (PCI) is shown to have preliminary support for not only increasing participants' PsyCap, but also financial impact and high return on investment. Copyright © 2006 John Wiley & Sons, Ltd.
Article
Although the value of a supportive organizational climate has been recognized over the years, there is a need for better understanding of its relationship with employee outcomes. This study investigates whether the recently emerging core construct of positive psychological capital (consisting of hope, resilience, optimism, and efficacy) plays a role in mediating the effects of a supportive organizational climate with employee outcomes. Utilizing three diverse samples, results show that employees' psychological capital is positively related to their performance, satisfaction, and commitment and a supportive climate is related to employees' satisfaction and commitment. The study's major hypothesis that employees' psychological capital mediates the relationship between supportive climate and their performance was also supported. The implications of these findings conclude the article. Copyright © 2008 John Wiley & Sons, Ltd.
Article
Research shows that unemployment negatively affects a person's wellbeing, which in turn can impair their ability to regain employment. Studies also suggest a person's ‘psychological capital’ (PK) (personality traits that influence the productivity of labour) influences the impact of unemployment on wellbeing and facilitates re-employment. This paper combines various economic and psychological theories of unemployment, and using 2004 cross-sectional data from Australia, tests the hypothesis of a simultaneous relationship between employment status and wellbeing and the mediating role of PK. Results support a simultaneous relationship and the partial mediating effect of PK. Individuals with poor PK are at greater risk of being unemployed.
Article
The goal of this study was to determine if job satisfaction differs between speech-language pathologists (SLPs) working in school settings and SLPs working in medical settings. The Job Satisfaction Survey (JSS) by Spector (1997) was sent via electronic mail to 250 SLPs in each of the 2 settings. Job satisfaction scores were computed from subscale category ratings and were compared between the 2 settings. Subscale category ratings for pay, promotion, supervision, benefits, contingent rewards, operating conditions, coworkers, nature of work, and communication were analyzed for differences between and within settings. Age, caseload size, and years-at-position were analyzed by linear regression to determine whether these factors might predict SLPs' job satisfaction. The survey had a response rate of 19.6% (N = 98 participants). Although SLPs in both settings were generally satisfied with their jobs, SLPs in medical settings had significantly higher total job satisfaction scores. Respondents from both settings had similar satisfaction ratings for subscale categories, with nature of work receiving the highest rating and operating conditions and promotion the lowest. Results of the linear regression analysis for age, caseload size, and years-at-position were not significant. Further research should evaluate important aspects of job satisfaction in both settings, especially nature of work operating conditions, and promotion.
Article
Collected data from 3,148 respondents in 19 samples regarding evaluative feelings about their jobs and developed the Job Satisfaction Survey (JSS), a 9-subscale measure applicable specifically to human service, public, and nonprofit sector organizations. Included are a multitrait-multimethod analysis of the JSS and the Job Descriptive Index, factor analysis of the JSS, and scale intercorrelations. Correlations of JSS scores with criteria of employee perceptions and behaviors for multiple samples were consistent with other satisfaction scales and with findings from the private sector. (47 ref) (PsycINFO Database Record (c) 2007 APA, all rights reserved)
Article
This paper summarizes a stream of research aimed at developing and validating a measure of employee commitment to work organizations. The instrument, developed by Porter and his colleagues, is called the Organizational Commitment Questionnaire (OCQ). Based on a series of studies among 2563 employees in nine divergent organizations, satisfactory test-retest reliabilities and internal consistency reliabilities were found. In addition, cross-validated evidence of acceptable levels of predictive, convergent, and discriminant validity emerged for the instrument. Norms for males and females are presented based on the available sample. Possible instrument limitations and future research needs on the measurement and study of organizational commitment are reviewed