This paper investigates the antecedents and consequences of electronic word of mouth (eWOM) credibility using a meta-analysis technique. The extant literature provides inconsistent findings related to eWOM credibility. These inconsistencies are primarily because of methodological differences or heterogeneity among previous studies, which leads to confusion amongst researchers and managers. We resolve this inconsistency and provide a conclusive takeaway on the determinants and consequences of eWOM credibility by conducting a meta-analysis of the 51 primary studies comprising 124 effect sizes. Results show that both review and reviewer-related determinants have a significant positive influence on eWOM credibility while consequences, namely purchase intention, eWOM adoption, and attitude towards the product, have a significant relationship with eWOM credibility. Furthermore, results indicate that culture, product type, and platform type are the moderating factors. Results of the study can be used by researchers to address the issue of omitted variable bias, while managers can use the findings to enhance the credibility of eWOM messages on various eWOM platforms.
The purpose of this paper is to investigate cognitive biases among financial planners and, if and how, digital transformation through Artificial Intelligence (AI) can help overcome biases. The literature establishes that investors and financial services clients can exhibit cognitive biases. However, it is not evident whether the financial planners understand and detect cognitive biases among the clients and if they at all 'attempt' to address the biases whilst providing financial planning services. Utilizing the attribution theory, our paper contributes by exploring the gap in research related on cognitive biases among financial planners and provides a future research agenda for addressing the gap, through a qualitative investigation. Our study was designed over two stages, wherein we conducted in-depth interviews in both stages. The first stage included in depth interviews with 21 financial planners and a repeat 10 interviewers with select financial planners, with scenarios in the second stage. In total, we conducted 31 interviews to investigate cognitive biases among financial planners and how Artificial Intelligence can assist. Our findings suggest that cognitive biases exist among financial planners while providing services for the people in need, which is a major challenge for them. Our findings further suggest that digital transformation by using the Artificial Intelligence technologies might help overcome this existing biases, albeit, AI technologies ought to be combined with human intelligence. To the best of our knowledge, there exists no existing research on the association between cognitive biases and artificial intelligence among financial planners.
This study aims to reduce the misinterpretation and conceptual ambiguity of slow tourism and find the gaps between theory and practice. Multiple videos on a famous video-sharing platform are analyzed to comprehend travel broadcasters' perceptions and experiences. Textual mining with Leximancer is applied, and the findings are threefold. First, this research clarifies the definition of slow tourism and illustrates the gaps among slow tourism's conceptions and practices. Second, based on empirical evidence, this work develops a six-pillar slow tourism framework along a continuum that reflects the degree to which a tourism offer is part of the slow tourism trend. Third, this work helps tourism scholars and practitioners keep pace with the decelerated tourism movement while helping shape its future. Finally, the study identifies critical opportunities, which could drive the slow tourism research forward.
Brand heritage identity (BHI) has been examined in single corporate cases, often of family firms, in a specific country, to reveal a deep theoretical understanding of the concept and how BHIs are created. Our study complements this research by providing a large-scale empirical study of BHI in family firms across countries. Specifically, using signaling theory as a framework, this study investigates how country-level importance of family values, as well as firm age, influence the use of BHI and drive marketing performance for family businesses. BHI is a signal that helps stakeholders resolve market asymmetries and this signal is bolstered in countries where family is deemed more important. Firm age is an important moderator. The findings demonstrate that in countries where family, as a key social unit, is more important, firms signal competitiveness via BHI, which in turn relates positively to marketing performance.
This study investigates how B2B relationships can be nurtured in the cultural environment of the Indian management style. We have considered three prominent Indian cultural attributes that influence Indian management style: jugaad (J), visvaas (V), and chalta hai (C). These are perceived to have considerable impacts on relationship management in terms of consumer buying behavior and psychology in the B2B context. This concept has dramatically changed the B2B marketing dynamics, blurring the age-old boundaries between B2B and B2C marketing contexts. With this background, we attempted to understand how the three Indian cultural attributes can impact the B2B relationship. This study highlights that consumers’ buying behavior, in the B2B context, is influenced by their brand identification, purchase engagement, and prestige sensitivity. A conceptual model has been developed and the model has been validated statistically by a survey involving 364 respondents. The study reveals that jugaad, visvaas, and chalta hai considerably affect the business relationship performance of the MNCs doing business with Indian firms, especially on B2B consumer buying behavior and psychology.
This study presents a comprehensive systematic review of worldwide research on the relationship between personality and safety behaviors in context of road and traffic safety to identify key areas, current global trends, and suggest future research direction towards understanding nuances of personality as predictor of accident involvement and risk-taking behaviors. Using bibliometric and visual analysis methods, we examine a sample of 613 studies extracted from the Scopus database based on a search query string with rigorous inclusion and exclusion criteria. Keyword co-occurrence analysis shows five clusters representing focal areas studied by scholars in the field globally which are then classified into central, niche, and emergent themes using the strategic diagram. Further, using citation analysis, co-citation analysis and bibliographic coupling, we highlight the intellectual structure of the knowledge domain and identify potential future areas for research. The results indicate that the research field is yet to be fully developed and more research is warranted towards wider personality traits and subtypes, using different structures of personality, employing longitudinal designs and behavioral methods, and expending insights from personality research for accident prevention and to develop and predict directives for self-driving vehicles. The study concludes by presenting implications for organizations and policymakers.
This research examines the impact of family firm branding on consumer attitude and forgiveness during product harm crisis. Two well-powered experimental studies (N = 604) show that consumers are more likely to forgive and maintain favorable attitudes towards family firm brands than non-family firm brands following a product harm crisis. These relationships are mediated by consumers' higher trust in family firm brands. Even when firms are caught engaging in questionable impression management tactics in the aftermath of such a crisis, family firms retain their advantage over non-family firms. The findings contribute to the literature on family firm branding and product harm crisis and have important implications for practice.
This study investigates the influence of barriers to value co-creation (VCC) on consumers' resistance behavior in the online B2C retailing context. The study also examines the moderation effect of the dimensions of the DART model, such as dialogue, accessibility, risk, and transparency. Structural equation modeling and Process macro were applied to analyze 524 responses collected through an online questionnaire. The study found inertia, perceived complexity, perceived risk, and perceived justice as crucial barriers. The dialogue, accessibility, risk assessment, and transparency were found to be crucial moderators. This study enriches the consumers' resistance behavior literature. The study findings help marketers develop strategies to enhance value co-creation and reduce the consumers' resistance behavior toward online shopping.
Homogenous resource endowment, contrary to resource heterogeneity, is an unlikely source of competitive advantage. Likewise, a proliferation of similar organizations in a given environment, triggers intense incumbent rivalry. In this study, we present evidence of how resource homogeneity amongst industry peer firms leads to non-competitive aggregation under a confederated structure. The creation of that structure is facilitated by quasi-normative, esoteric governance mechanisms, leading to creation, and leveraging of common brand equity as a collective resource, that provide members with competitive advantages. Using an emerging market case study on an ethnic group of about 2,000 independent restaurants, we highlight how the founder’s esoteric beliefs nearly a century ago, coupled with formalized and standardized processes and practices, and the spawning of newer restaurants via replication, reinforce the collective brand equity. Complementing the case study, we adopted the survey method to empirically test and validate the existence of brand equity from customers’ side.
Anchored in emerging theoretical insights regarding sustainable human resource management, with a focus on pursuing socially responsible HR, we propose that enhancing employees' career satisfaction in public sector organisations constitutes a unique opportunity for public sector organisations to improve their internal social responsibility, focussing on employees as key stakeholders. In this context, this study provides original evidence regarding an original framework for examining the determinants and outcomes of employees' career satisfaction in the US federal agencies, with implications for the internal social responsibility of public sector organisations, which is a dimension of sustainable HR. We use a longitudinal study design involving a sample of permanent, full‐time civilian federal employees from two surveys conducted by the US Merit Systems Protection Board. We suggest key factors that affect public sector employees' career satisfaction and aspirations. These key factors may be useful for public sector organisations that wish to design more sustainable and socially responsible HRM centred around the career satisfaction of their internal stakeholders.
Ergonomics for environmental sustainability has been rapidly gaining attention in the scientific community. So far, a large part of the literature has focused on specific dimensions of ergonomics for environmental sustainability, such as green designs, green buildings, environmental education, and sustainability frameworks. However, there is a necessity for an integrated study that presents the summary of published literature supported by detailed bibliometric characteristics. To address this gap, this study examined 418 articles on ergonomics for environmental sustainability and analysed them through bibliometric and network analysis. Major findings reveal the publication trends in ergonomics for environmental sustainability from 2011 to the present, the most productive and influential authors, and the most influential articles. This study also identifies the co-citation structure, bibliographical couplings and keyword co-occurrences among these articles. This study findings also provide a summary of current research and present a robust roadmap for future directions in ergonomics for environmental sustainability.
The rapid spread of the COVID-19 pandemic has disrupted many economic activities around the world. The complete and partial lockdown policies, as well as the closure of borders by many countries has halted trade, consequently disrupting domestic and international supply chain networks. Like many other countries, various economic sectors in Pakistan also bore high economic losses due to these disruptions. Multiple studies have analyzed on the impact of the COVID-19 pandemic on different economic sectors in Pakistan, i.e. construction, accommodation and food, manufacturing, wholesale and retail goods, energy, and the information and communication sectors. However, no study has examined sorting these economic sectors based on supply chain disruptions due to the pandemic. Therefore, this study aims to observe the resilience of these economic sectors and perform sorting using three predefined classes, i.e. severe, moderate, and low disruptions. For this purpose, we propose using the novel methodology fuzzy VIKORSort, which is the major contribution of this paper. This methodology evaluates the aforementioned economic sectors based on 10 criteria. The results of the study revealed that the accommodation and food sector, along with the construction sector, experienced the most severe disruption, followed by manufacturing, wholesale and retail goods, and energy, with moderate disruption, whereas the information and communication sector bore the least disruption. The proposed methodology will help the researchers and authorities deal with sorting and decision problems to prioritize the preventive measures of such undesirable events.
Using the case of French contemporary poetry, this article investigates the organization of “pure” art forms. These are highly legitimate art forms which, instead of being profit-oriented, comprise actors who strive primarily for esthetic recognition. The organizational life of such arts is based on a new academy system which is in some regards comparable to that of the 17th century—leading me to call the current system a “return to the academy.” I define an academy system as an assemblage of artistic institutions coupled with public funding for artists and artistic organizations. This two-pronged system organizes the arts along four dimensions: strategic, administrative, ideological, and professional. Its strategic mission is to support artistic creation, spread cultural democracy, and guarantee the construction and transmission of literary heritage. Paradoxically, the State cannot make these choices directly, firstly because of the widely accepted autonomy of art, and secondly because, in a democracy, the State can no longer select artists according to an explicit ideology. The academy is thereby “invisible.” Second paradox, its organization has led to the marketization of pure arts, and the transformation of artists into independent workers providing goods and services. Finally, I discuss how this system fits a new consumerist definition of culture, based on “traces” that have to be recorded and managed as heritage. These findings question the typical narrative that the arts were emancipated from the patronage system thanks to the market, as this does not apply to most artists.
The present work addresses a multi-period facility location decision during crisis—Pandemic—situation with highly uncertain demand. Our paper identifies failing distribution centres (DCs) over several periods of time and decides about relocation. Several scenarios arise: DCs can be opened, displaced from one location to another, closed or even reopened during a certain time, using mobile facility. We recommend a multi-objective non-linear mixed-integer mathematical model that identifies, for each period, the best possible location for DCs and their allocation to customers. Our model analyses the trade-off between economic costs and \(CO_2\) emissions generated by facilities operations. We suggest a multi-objective approach based on a Non-dominated Sorting Genetic Algorithm II (NSGA-II). Our simulations demonstrate how mobile facility should be managed to ensure a good balance between economic and environmental criteria.
Drawing on Butler’s theoretical background, research on the ethics of violence has focused on the importance of dominant society-wide schemes and norms in building individuals’ moral sense of violence. Studies explain how violence is normalized and made socially acceptable. In our analysis, we build on the pragmatic sociology of Boltanski and Thévenot that places particular importance on the fact that fairness must always be appreciated in situations and provide a “grammar” to describe competing normative approaches. Studying rugby, we show how the different market players (consumers, broadcasters, journalists) justify the violence that occurs during rugby matches. We contribute to the literature on the ethics of violence by providing a pragmatic understanding of violence. We contribute to the economies of worth by investigating violence in a regime of justice and justification work in a reality test (in contrast to a test of worth). This understanding of violence enables us to offer some recommendations to encourage more responsible justification work about violence.
The extant literature suggests that digital technologies (big data analytics, artificial intelligence, blockchain) help firms gain a competitive advantage. However, the studies do not focus on the micro, small and medium enterprises (MSME) sector. Moreover, MSMEs face various challenges, including significant supply chain disruption due to the COVID-19 pandemic. Hence, there was an urgent requirement to shift to digital technologies to survive during this difficult time. In the context of MSME, various positive changes are discussed in the recent literature. However, a dearth of studies discusses the role of big data analytics capabilities (BDAC) to gain sustainable competitive advantage (SCA). Our study aims to fill this gap and answer this question – How do BDAC help MSMEs gain SCA? To understand the phenomenon, we receive theoretical support from organizational information processing theory (OIPT) and institutional theory (IT). We develop a conceptual framework that links BDAC and SCA through supply chain coordination, swift trust, and supply chain risk. Additionally, the age and size of the firm are used as control variables. The data is collected from Indian service sector employees of MSMEs, resulting in 497 usable responses. We use PLS-SEM using Warp PLS 7.0 to test the hypotheses. A critical finding is that the BDAC indirectly impacts the SCA. Finally, the other findings, limitations, and scope for future research are discussed.
We investigate the impact of the announcement of the COVID-19 pandemic on the market value and trading volume of supply chain finance (SCF) firms. Using an event study, we observe a significant valuation loss and higher trading volume of SCF firms. However, blockchain-enabled SCF firms are protected from such valuation loss and volatility in trading. We find that higher research and development (R&D) and capital expenditures by firms prevent the loss. Moreover, the firm value of blockchain-enabled SCF firms is impacted by their membership in a blockchain consortium and progress in blockchain implementation. Investors’ confidence in blockchain reduces the market uncertainty.
Recent research on green human resource management suggests that the social exchange process is conducive to employees behaving pro-environmentally. Previous studies have focused exclusively on reciprocal exchange and have largely overlooked the possibility that negotiated exchange also occurs. In this paper, a research model is developed to test whether the effect of green human resource management on employee eco-initiatives through the mediation of supervisory support for the environment is conditioned by felt responsibility for change and negotiated exchanges. Using data from a two-wave study, the findings show that the mediating effect is stronger at high levels of negotiated exchange only for employees displaying low levels of felt responsibility for change. The results also indicate that negotiated exchanges do not intervene in the case of employees exhibiting high levels of felt responsibility for change. This study provides new insights for understanding how social exchange operates in an environmental sustainability context.
This chapter provides a brief introduction to the essays in this volume. The main motivations for the book are set out, and connections are made to the Sustainable Development Goals. To avoid repeating points made in the concluding chapter, which offers a comprehensive summary view of the preceding chapters, the following pages will be limited to a short overview of the topics investigated in each essay.
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