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Modelling High-Quality Knowledge Sharing in Cross-Functional Software Development Teams

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Abstract

We present and empirically validate a Coopetitive Model of Knowledge Sharing that helps understand the forces underlying High-Quality Knowledge Sharing in multiparty software development teams. More specifically, we integrate the Coopetitive Model of Knowledge Sharing and Social Interdependence Theory to explain the forces behind High-Quality Knowledge Sharing in cross-functional software development teams. Based on the analysis of data collected from 115 software development project managers, we explore the mechanisms through which simultaneous cooperative and competitive behaviors drive High-Quality Knowledge Sharing among cross-functional team members. We also show how multiple interdependencies that are simultaneously set in motion engender cooperative and competitive behaviors. This study is the first study that encompasses both the antecedents of simultaneous cooperative and behaviors and the mechanisms through which simultaneous cooperation and competition influence knowledge sharing behaviors. The model adds to the emerging contingency perspective pertaining to the study of cooperation and competition in system development teams.

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... • Principle 6: Universality Extract general principles or models from specific Data points and extend localized insights to broader contexts. For example, in collaborative environments such as cross-functional software development teams, applying universal principles from one industry can enhance team Knowledge sharing and efficiency across different sectors [55]. • Principle 24: Intermediary Utilize intermediate models, such as simulations or analytical frameworks, as bridges between raw Data and refined Knowledge to facilitate the understanding and interpretation of complex datasets. ...
Article
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We propose the DIKWP-TRIZ framework, an innovative extension of the traditional Theory of Inventive Problem Solving (TRIZ) designed to address the complexities of cognitive processes and artificial consciousness. By integrating the elements of Data, Information, Knowledge, Wisdom, and Purpose (DIKWP) into the TRIZ methodology, the proposed framework emphasizes a value-oriented approach to innovation, enhancing the ability to tackle problems characterized by incompleteness, inconsistency, and imprecision. Through a systematic mapping of TRIZ principles to DIKWP transformations, we identify potential overlaps and redundancies, providing a refined set of guidelines that optimize the application of TRIZ principles in complex scenarios. The study further demonstrates the framework’s capacity to support advanced decision making and cognitive processes, paving the way for the development of AI systems capable of sophisticated, human-like reasoning. Future research will focus on comparing the implementation paths of DIKWP-TRIZ and traditional TRIZ, analyzing the complexities inherent in DIKWP-TRIZ-based innovation, and exploring its potential in constructing artificial consciousness systems.
... • Principle 6: Universality Extract general principles or models from specific data points and extend localized insights to broader contexts. For example, in collaborative environments such as cross-functional software development teams, applying universal principles from one industry can enhance team knowledge sharing and efficiency across different sectors [26]. ...
Preprint
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We propose the DIKWP-TRIZ framework, an innovative extension of the traditional Theory of Inventive Problem Solving (TRIZ) designed to address the complexities of cognitive processes and artificial consciousness. By integrating the elements of Data, Information, Knowledge, Wisdom, and Purpose (DIKWP) into the TRIZ methodology, the proposed framework emphasizes a value-oriented approach to innovation, enhancing the ability to tackle problems characterized by incompleteness, inconsistency, and imprecision. Through a systematic mapping of TRIZ principles to DIKWP transformations, we identify potential overlaps and redundancies, providing a refined set of guidelines that optimize the application of TRIZ principles in complex scenarios. The study further demonstrates the framework’s capacity to support advanced decision-making and cognitive processes, paving the way for the development of AI systems capable of sophisticated, human-like reasoning. Future research will focus on comparing the implementation paths of DIKWP-TRIZ and traditional TRIZ, analyzing the complexities inherent in DIKWP-TRIZ-based innovation, and exploring its potential in constructing artificial consciousness systems.
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... Success in software development depends on acquiring knowledge, sharing information, and minimizing communication breakdowns. This means that expertise is required from various stakeholders, ranging from business users to developers [18], [19]. Sharing knowledge is essential in producing top-notch software that meets the needs of business users. ...
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... Prior research of coopetition, a double edged sword of competition and cooperation, has also been classified in similar levels. Coopetition can increase the performance D'Ambra 2012, 2013;Lin et al. 2010;Nguyen et al. 2018;Seran, Pellegrin-Boucher, and Gurau 2016;Strese et al. 2016), the knowledge (Chiambaretto, Massé, and Mirc 2019;Ghobadi and D'Ambra 2013;Nguyen et al. 2018), the relationship (Knein et al. 2020;Raza-Ullah et al. 2014;Strese et al. 2016) and innovation Chiambaretto et al. 2019;Nguyen et al. 2018;Stipp, Pimenta, and Jugend 2018) within and inter teams. In the following, the focus is set on the basis of the results, how within the teams the cooperation and competition is distorted due to the situation of the pandemic. ...
... In a study that investigated the effects of trust and dependence on knowledge sharing in the context of information system development, Lee et al. (2015) con-firmed that dependence and trust facilitate knowledge sharing. Ghobadi and D'Ambra (2013) used the social interdependence theory to explain high quality knowledge sharing in crossfunctional software development teams. They suggested that the interdependence of partners promotes cooperative behaviour, which may facilitate high quality knowledge sharing. ...
Thesis
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... Prior research of coopetition, a double edged sword of competition and cooperation, has also been classified in similar levels. Coopetition can increase the performance D'Ambra 2012, 2013;Lin et al. 2010;Nguyen et al. 2018;Seran, Pellegrin-Boucher, and Gurau 2016;Strese et al. 2016), the knowledge (Chiambaretto, Massé, and Mirc 2019;Ghobadi and D'Ambra 2013;Nguyen et al. 2018), the relationship (Knein et al. 2020;Raza-Ullah et al. 2014;Strese et al. 2016) and innovation Chiambaretto et al. 2019;Nguyen et al. 2018;Stipp, Pimenta, and Jugend 2018) within and inter teams. In the following, the focus is set on the basis of the results, how within the teams the cooperation and competition is distorted due to the situation of the pandemic. ...
... Understanding smartphone usage in cross-functional teams is especially important in this field since it has a significant impact on communication and information transfer. Knowledge sharing is especially important for cross-functional teams since it improves social cohesiveness [18]- [20], problem-solving [14], and performance [21]- [23]. Knowledge hiding is the polar opposite of knowledge sharing. ...
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... Prior research of coopetition, a double edged sword of competition and cooperation, has also been classified in similar levels. Coopetition can increase the performance D'Ambra 2012, 2013;Lin et al. 2010;Nguyen et al. 2018;Seran, Pellegrin-Boucher, and Gurau 2016;Strese et al. 2016), the knowledge (Chiambaretto, Massé, and Mirc 2019;Ghobadi and D'Ambra 2013;Nguyen et al. 2018), the relationship (Knein et al. 2020;Raza-Ullah et al. 2014;Strese et al. 2016) and innovation Chiambaretto et al. 2019;Nguyen et al. 2018;Stipp, Pimenta, and Jugend 2018) within and inter teams. In the following, the focus is set on the basis of the results, how within the teams the cooperation and competition is distorted due to the situation of the pandemic. ...
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... With the increase in interdisciplinary work in industry, the challenges for the successful collaboration of cross-functional teams are growing. A cross-functional team is a group of members with different expertise (Ghobadi and D'Ambra 2013) working together towards a common and shared goal, expecting to be more creative, innovative (Sethi et al. 2001) and successful (Ernst et al. 2010) during the process. The gain in growing competencies is imperative to provide competence gains and productivity to meet increasingly complex market requirements. ...
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... Prior research of coopetition, a double edged sword of competition and cooperation, has also been classified in similar levels. Coopetition can increase the performance D'Ambra 2012, 2013;Lin et al. 2010;Nguyen et al. 2018;Seran, Pellegrin-Boucher, and Gurau 2016;Strese et al. 2016), the knowledge (Chiambaretto, Massé, and Mirc 2019;Ghobadi and D'Ambra 2013;Nguyen et al. 2018), the relationship (Knein et al. 2020;Raza-Ullah et al. 2014;Strese et al. 2016) and innovation Chiambaretto et al. 2019;Nguyen et al. 2018;Stipp, Pimenta, and Jugend 2018) within and inter teams. In the following, the focus is set on the basis of the results, how within the teams the cooperation and competition is distorted due to the situation of the pandemic. ...
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Today the goal of companies in the market continues to be to maximize profit.The main research elements in this work were aimed at systematizing theoretical concepts of how various aspects of increasing and assessing customer satisfaction in the economic activities performed at the level of society can be improved.One of the elements sought was the analysis of the evolution of customer satisfaction, the determination of mechanisms for assessing customer satisfaction by applying their own methods in relation to the classical economic indicators (profit, productivity, cost), develop and propose solutions for growth and economic development at society level by increasing customer satisfaction based on the results of this research. The general methodology of research was based on three types of research: fundamental, applied and empirical. Analytical procedures such as observation and reasoning have been used. This is why we have put a new system into the fore in the form of an indicator that involves both customer satisfaction and economic elements that measure economic activity itself so that we can talk about economic sustainability based on continuous innovation
... Prior research of coopetition, a double edged sword of competition and cooperation, has also been classified in similar levels. Coopetition can increase the performance D'Ambra 2012, 2013;Lin et al. 2010;Nguyen et al. 2018;Seran, Pellegrin-Boucher, and Gurau 2016;Strese et al. 2016), the knowledge (Chiambaretto, Massé, and Mirc 2019;Ghobadi and D'Ambra 2013;Nguyen et al. 2018), the relationship (Knein et al. 2020;Raza-Ullah et al. 2014;Strese et al. 2016) and innovation Chiambaretto et al. 2019;Nguyen et al. 2018;Stipp, Pimenta, and Jugend 2018) within and inter teams. In the following, the focus is set on the basis of the results, how within the teams the cooperation and competition is distorted due to the situation of the pandemic. ...
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... Prior research of coopetition, a double edged sword of competition and cooperation, has also been classified in similar levels. Coopetition can increase the performance D'Ambra 2012, 2013;Lin et al. 2010;Nguyen et al. 2018;Seran, Pellegrin-Boucher, and Gurau 2016;Strese et al. 2016), the knowledge (Chiambaretto, Massé, and Mirc 2019;Ghobadi and D'Ambra 2013;Nguyen et al. 2018), the relationship (Knein et al. 2020;Raza-Ullah et al. 2014;Strese et al. 2016) and innovation Chiambaretto et al. 2019;Nguyen et al. 2018;Stipp, Pimenta, and Jugend 2018) within and inter teams. In the following, the focus is set on the basis of the results, how within the teams the cooperation and competition is distorted due to the situation of the pandemic. ...
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Sustainability is a “wicked” subject – which most people automatically relate to energy. But it’s more. Locally – here specially for the area of district heating – it has many relationships within several areas. The article will try to shed some light how the 17 SDGs are related to a local district heating company, the local sugar factory, public transportation and the local grid. To use wood chips for a district heating system seems very common but using a waste product such as methane gas (or something close to it) and converting it into better Compressed Natural Gas (CNG) instead of creating only energy out of it, is a local novum. Sustainable urbanization – mainly heating in this article - is a term – the wickedness comes with implementation. While agriculture and urbanization fight for the same resource as the woodchip powered heating source – the forestation.
... Knowledge sharing is significant in software development teams. 100,101 For instance, software development teams involved in iterative software development phases need exhaustive knowledge sharing to allow prompt reflections to exploit different proficiencies and to search prevailing perspectives in software development. Knowledge sharing facilitates improvement in the software process. ...
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Chapter
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Purpose The purpose of this paper is to examine the effect of trust, privacy, service quality and customer satisfaction on the success of electronic customer relationship management (E-CRM) systems. Design/methodology/approach In this paper, a new model for determining the critical factors in the success of E-CRM systems is presented. The suggested model is verified using partial least squares with structural equation modeling. A questionnaire is designed and collected from 378 taxpayers in East Azerbaijan province of Iran. Findings The outcomes reveal that customer satisfaction is significantly influenced by the perceived quality of service. Customer satisfaction, in turn, is significantly impacted by the trust. Therefore, the quality of service, trust and privacy, through customer satisfaction, significantly affects the success of E-CRM systems. Research limitations/implications The main limitation can be referred to the clients that would not cooperate well as they were avoiding to give much information about the financial issue. Also, the study was conducted only in the context of Iran and a limit sample was utilized. Practical implications The research results help service providers improve E-CRM. Originality/value This study sheds light on identifying the antecedents of trust, privacy and quality of service that affect customer satisfaction; it may contribute to the theoretical framework for customer satisfaction in the context of the E-CRM. The results of the research offer practical implications for marketing managers and practitioners who prepare strategic plans and implement tools to improve the productivity or performance of the E-CRM systems. Moreover, customer satisfaction is related to the success of E-CRM systems as a result of trust, privacy and service quality. This research offers new insights into E-CRM intentions from a taxpayer in Iran.
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Team members’ knowledge diversity has a “double-edged sword” nature within cross-functional project teams (CFPTs), showing an inconsistent relationship with team performance. For realizing this diversity's potential benefits, leadership is usually an essential enabler. However, little is known about how knowledge leadership achieves this. This study proposed that knowledge leadership moderates the effect of knowledge diversity on team performance through a transactive memory system (TMS). By empirically testing survey data from 96 CFPTs, we found that knowledge leadership enables a positive linkage of knowledge diversity-CFPT performance by successively breaking down barriers to communication and cooperation in TMS development and functioning.
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Trust and justice play an important role in the process of organizational change to build dynamic capabilities for sustainable competitive advantage. This study investigated the interaction effects of management's benevolence trustworthiness and integrity trustworthiness on employees’ perception of procedural justice during innovation or organizational change. Both the scenario and the field study showed that the patterns of the interaction effects of these two components of trustworthiness are further influenced in a complementary manner by different innovation approaches. The study indicated that the relationships between benevolence trustworthiness and integrity trustworthiness are far more complex than expected and thus need more research efforts.
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Relationship conflict is a pervasive phenomenon in cross-functional project teams. Although previous studies have demonstrated the dysfunctional effect of relationship conflict, the direct drivers of relationship conflict in cross-functional project teams remain unclear. To address this gap, a literature review and an advisory group discussion were performed to identify the antecedents of the relationship conflict framework. Afterward, a structural equation model (SEM) was used to confirm the influence of such antecedents on relationship conflict. Intrapersonal diversity, uncertain project task, organizational culture diversity, and inappropriate behavior positively influence relationship conflict. These findings help researchers better understand the drivers of relationship conflict as well as open a gateway for practitioners to control and manage relationship conflict for a successful cross-functional project.
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As important bases to cultivate high-level innovative talents and as also two of the main forces of original innovation in basic research and high-technology field, colleges and universities continually supply fresh troops to address the issue of the national economy and to accomplish the successful transfer of technology and achievements. The research team is a group made up of researchers having complementary skills and being responsible for each other under a common research objective, research goal, and working method. In colleges and universities, the cultivation of discipline leaders, the integration of research direction, the nurturing of characteristic discipline, the promotion of overlapping discipline, the solution to important scientific problems, the acceleration of major scientific research achievements, etc. can all be achieved by forming a research team. Research teams in universities are the main conduit of knowledge dissemination and innovation in the national innovation system, as intellectual activity runs throughout the whole process. For research teams in universities with an academic organization form having the purpose of studying, tacit knowledge sharing plays a decisive role for the completion of team tasks.
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Under economic globalization, innovation is increasingly more open, and the creation, innovation, and application sectors of technological knowledge need to build an open collaborative innovation. Collaborative innovation is a transdisciplinary approach for developing global synergy to improve the competitiveness of an organization through holistic, competitive, and complementary interactions between and among innovation participants in a specific environment (Swink 2006). A collaborative innovation system essentially consists of three sectors: industry, universities, and the government, with each one interacting with the other two, while at the same time playing its own role.
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It is frequently noted that innovation has become a strategic source for creating firms’ sustainable competitive advantages. Therefore, continuously generating new knowledge to enable such innovation has become a key agenda for policy makers as well as business organizations (Nonaka 1994; Grant 1996). Knowledge is viewed as a competitive advantage and a source of power for those who possess it at the right place and at the right time, while the process of knowledge transfer between organizations is essentially the game between two different knowledge agents. In the context of certain social environments, knowledge transfer is a process of transferring knowledge from a knowledge source to a knowledge receptor and from an organization that has high knowledge stock to an organization that has low knowledge stock. The successful transfer of knowledge is closely related to the willingness of the knowledge provider to transfer such knowledge and the willingness of the knowledge recipient to accept such knowledge.
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This book has presented systematical research for several key issues of knowledge flow in University-Industry Collaborative Innovation (UICI) in China.
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Knowledge has become the most precious property of any commercial or academic institution. Knowledge management plays the key role in upgrading the competitiveness of a team. Knowledge management concerns innovating, spreading, sharing, and using knowledge. Research on knowledge management targets the management aspects, including organizational learning, personal management, culture, etc. (Drucker 1998), and the technical aspect includes models, support tools, and environments (Zhuge 2002a, b). Knowledge is power, but knowledge is not just statically stored. It evolves through being shared and developed by roles, people, and various resources within the cyber-physical-socio environment. Knowledge flow is the passing of knowledge between people or through machinery. It has three crucial attributes: direction (sender and receiver), carrier (medium), and content (shareable). Good knowledge flow enables intelligent participants (people, roles, and devices) to cooperate effectively (Zhuge 2004). The literature has investigated multiple types of flows, e.g., material flow (Brunner and Rechberger 2004), energy flow (Odum 1968), message flow (Nierstrasz 1985), control flow (Heintze 1995), etc., and the rules they follow in respective domains.
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The world is currently in the era of grand developments, reforms, and adjustments. Multi-polarization and economic globalization are deepening further, and the international business structure is changing due to fierce competition among national economies. Innovation has become the main driving force of economic social development, and intellectual innovation has become the core factor of national competitiveness. Under such circumstances, each country undertakes a strategy of further exploring human resources to realize innovative development, hence grasping the initiative of global competition.
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Knowledge sharing is a two-way communication process, and the compact degree and frequency of knowledge exchange are both different due to the individual cognitive background of organization members. The mutual learning and communication among members can promote continuous sharing and enhance the organization’s overall knowledge level by sharing and expanding more benefits of the knowledge receiver. During communication and understanding, a knowledge dialogue is accrued, and there is a complex interactive relationship between individuals or populations, thus forming a relative network.
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Universities play an important role as a source of fundamental knowledge and, occasionally, relevant industrial technology in modern knowledge-based economies. Universities are the main knowledge dissemination and innovation places in national innovation system (NIS). Higher education in China has played an important role in the nation’s economy, science progress, and social development by bringing up a large scale of advanced talents and experts for the construction of socialist modernization. In 2015, all together there were 2560 higher education institutions (HEIs), among which 1219 were universities, 275 were independent colleges, and 1341 were higher vocational colleges. There were also 292 higher education institutions for adults. In 2015, the total number of new entrant admitted by and the total enrollment of undergraduates in regular HEIs were, respectively, 7,378,495 and 26,252,968. The total number of new entrants admitted by and the total enrollment of postgraduates in regular HEIs were, respectively, 645,055 and 1,911,406. The total number of new entrants admitted by and the total enrollment of new recruitments and the total enrollment of adult higher education institutions were 2,367,455 and 6,359,352. China spent nearly 3.9 trillion yuan ($565.6 billion) on education in 2016, an increase of 7.57% from 2015, according to preliminary statistics released by the Ministry of Education. Expenditure for higher education exceeded 1 trillion yuan, up 6.22% from 2015. Every year, universities input a great deal of knowledge and employ teachers and researchers to create new knowledge value on the original knowledge basis in order to achieve knowledge value-added through knowledge accumulation, knowledge sharing, knowledge internalization, and other knowledge-based activities. Universities also input a large number of knowledge resources to create new knowledge in order to improve the university knowledge stock. In view of this, it is important to discuss the efficiency of university knowledge value-added to find out the influence factors of this value added. It will help universities to optimize their allocation of knowledge resources so as to achieve highly effective knowledge value-added efficiency.
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The knowledge flow along with the whole process of the collaborative innovation of industry, academia, and research essentially defines that innovation subjects gain the advantages of knowledge in the way that they acquire, transfer, apply, and get feedbacks so as to promote the sharing, transfer, and creation of knowledge. At the same time, they exert the “externalities” and “spillover effects” of it.
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With the advent of the knowledge economy era, knowledge has become the major source for an organization to gain its core competence, and the full absorption and utilization of knowledge resources outside the organization are the key to increasing productivity and gaining a competitive advantage. An organization’s knowledge stocks determine its core competitiveness directly. Polanyi (2015) divides knowledge into two types, explicit knowledge and tacit knowledge, while Allee (1997) analogizes tacit knowledge and explicit knowledge to oceans and icebergs, respectively. In a traditional economic society, people only give credit to the role of explicit knowledge and focus on the management and utilization of themselves in their daily work. As a matter of fact, explicit knowledge is merely the “iceberg” above the water. With the advent of the knowledge economic society, people have started to draw attention to the enormous tacit knowledge under the water. Polanyi (2015) points out that in modern industries, knowledge is hard to describe as an indispensable part of technologies, thus making the sharing of tacit knowledge hard to codify as an essential component of knowledge sharing. The formation of tacit knowledge is a long-term accumulation process of personal experience, insights, and deep comprehension, which are extremely difficult to imitate and steal; therefore, tacit knowledge is the basis and source for an organization to build up its core competitiveness. Knowledge possesses abstractness and externality, which makes it possible to share, i.e., knowledge’s externalities allow it to be shared at a low cost, and the more it is shared, the more valuable it becomes; on the other hand, such qualities of knowledge serve also as the obstacles to knowledge sharing. More specifically, the high cost, high risk, and uncertainty of income distributions of the knowledge innovation processes determine knowledge owners’ monopolistic attitudes toward knowledge out of their own selfishness and needs for competition, which deter the dissemination and spreading of knowledge.
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G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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Understanding simultaneous cooperative and competitive (coopetitive) dynamics in cross-functional software development teams is fundamental to the success of software development process. The recent coopetition research is, however, hampered by a lack of conceptual focus, and the corresponding inconsistent treatment of the constructs associated with cross-functional coopetitive relationships. This study conceptualizes and operationalizes the multi-dimensional construct of cross-functional coopetition, and then presents an instrument for measuring this construct. Cross-functional coopetition is conceptualized with 5 distinct and independent constructs; 3 of them are related to cross-functional cooperation, and 2 are associated with cross-functional competition. The data collected from 115 software development project managers in Australia confirms the applicability of the constructs and their measures. This study contributes to the extant literature by providing a consensus on the conceptualization of cross-functional coopetitive behaviors, particularly in multi-party software development teams. The conceptual basis for cross-functional coopetition and its instrument will aid researchers and project managers interested in understanding coopetition in cross-functional collaborative contexts. Research and practical implications are discussed.
Article
Improving the effectiveness of knowledge transfer from a parent firm to its subsidiary is one of the most critical issues confronting management at multinational companies (MNC). Since knowledge tends to be sticky and difficult to transfer, the success of knowledge transfer is contingent not only upon various kinds of contextual variables, but also upon the process of knowledge transfer implementation and internalization. Previous studies did not consider the process of implementation and internalization variables, and failed to provide a more comprehensive research framework for MNC knowledge transfer. This study attempts to assess the impact of knowledge stickiness on knowledge transfer implementation and internalization, as well as the performance of headquarter–subsidiary knowledge transfer. Results of this study suggest that an increase in knowledge stickiness may have a positive and significant influence on knowledge implementation, internalization, and knowledge transfer satisfaction. However, increases in knowledge stickiness beyond a certain point can also deter the success of transferring knowledge. Results also suggest a significant relationship between knowledge transfer implementation and internalization, innovation and satisfaction, and between knowledge innovation and knowledge transfer satisfaction.
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Combinations of multiple, related projects into interdependent programs are becoming common in the field of information technology. However, little work exists to study the impact of interdependence in the program environment to achieve collective success. Social interdependence theory provides a structure to examine whether collaborative efforts promote behaviors that result in higher levels of success. Using resource interdependence as an indicator of collaboration, a model of promotive behaviors is developed using the lens of social interdependence. Expectations are that resource interdependence conditions will promote more mutual support, effort, and communication. In turn, these behaviors will lead to an improvement in the business objectives and operational efficiency of the organization. A survey of program and project managers in information system vendors located in India support the model. The results provide support for the argument that programs are effective organization structures that capitalize on interdependencies and that the social interdependence theory provides a consistent model to explain the benefits of resource interdependence.
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High-tech companies are renowned for their high level of intellectual works even though they are facing a competitive environment. Knowledge sharing, therefore, plays an important role in a high-tech company's performance and innovation. In implementing knowledge sharing, high-tech firms often encounter setbacks due to neglecting human nature and the knowledge trading mechanism within organisations. This article aims to propose a holistic knowledge sharing framework by applying game theory, co-opetition, agent contest and reward systems, to solve the employee's dilemma and free-rider behaviour problems. Based on this framework, we categorise high-tech firms into four types of knowledge sharing, such as job guarantee, individual performance, team performance, and team learning. Empirical results showed that the type of team learning firm with agent contest and reward systems designed for both team and individual could build a co-opetitive knowledge sharing environment.
Article
The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addition to the known problems related to sample size and power, is that it may indicate an increasing correspondence between the hypothesized model and the observed data as both the measurement properties and the relationship between constructs decline. Further, and contrary to common assertion, the risk of making a Type II error can be substantial even when the sample size is large. Moreover, the present testing methods are unable to assess a model's explanatory power. To overcome these problems, the authors develop and apply a testing system based on measures of shared variance within the structural model, measurement model, and overall model.
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Although the methodological literature is replete with advice regarding the development and validation of multi-item scales based on reflective measures, the issue of index construction using formative measures has received little attention. The authors seek to address this gap by (1) examining the nature of formative indicators, (2) discussing ways in which the quality of formative measures can be assessed, and (3) illustrating the proposed procedures with empirical data. The aim is to enhance researchers' understanding of formative measures and assist them in their index construction efforts.
Article
The ability to transfer best practices intemally is critical to a firm's ability to build competitive advantage through the appropriation of rents from scarce internal knowledge. Just as a firm's distinctive competencies might be difficult for other firms to imitate, its best practices could be difficult to imitate internally. Yet, little systematic attention has been paid to such intemal stickiness. The author analyzes intemal stickiness of knowledge transfer and tests the resulting model using canonical correlation analysis of a data set consisting of 271 observations of 122 best-practice transfers in eight companies. Contrary to conventional wisdom that blames primarily motivational factors, the study findings show the major barriers to internal knowledge transfer to be knowledge-related factors such as the recipient's lack of absorptive capacity, causal ambiguity, and an arduous relationship between the source and the recipient. The identification and transfer of best practices is emerging as one of the most important and widespread practical management issues of the latter half of the 1990s. Armed with meaningful, detailed performance data, firms that use fact- based management methods such as TQM, bench- marking, and process reengineering can regularly compare the perfonnance of their units along operational dimensions. Sparse but unequivocal evidence suggests that such comparisons often reveal surprising perfonnance differences between units, indicating a need to improve knowledge utilization within the firm (e.g., Chew, Bresnahan, and Clark, 1990).' Because intemal transfers typi-
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"In this article an attempt has been made to sketch out a theory of cooperation and competition and apply this theory to the functioning of small groups… , (i) social situations of cooperation and competition were defined; (ii) some of the logical implications inherent in the definitions were pointed to; (iii) with the introduction of psychological assumptions, some of the definitions of the two objective social situations were then drawn; (iv) the psychological implications, with the aid of additional psychological assumptions, were then applied to various aspects of small-group functionings to develop a series of hypotheses about the relative effects of co-operation and competition upon group processes; and (v) finally the concept of group was defined and linked with the concept of cooperation, thus making all of the preceding theoretical development with respect to cooperation relevant to group concepts." (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
In this paper, we introduce ontology-centric knowledge organization approach to realize knowledge base system for sharing and reuse of knowledge. Since ontology is an intermediate level of information representation between the model and media level of information, it can work to bridge multiple models and multiple users. To share personal information among users, they must share their manners of conceptualization which form personal ontologies. Here we introduce two systems. First, we show knowledge base system for engineering called Designers Amplifier that organizes poorly-structured documents. Next, we show the multiple ontology management system called Donden that enables users to edit multiple ontologies and helps users to integrate ontologies.
Article
We develop a differentiated productivity model of knowledge sharing in organizations proposing that different types of knowledge have different benefits for task units. In a study of 182 sales teams in a management consulting company, we find that sharing codified knowledge in the form of electronic documents saved time during the task, but did not improve work quality or signal competence to clients. In contrast, sharing personal advice improved work quality and signaled competence, but did not save time. Beyond the content of the knowledge, process costs in the form of document rework and lack of advisor effort negatively affected task outcomes. These findings dispute the claim that different types of knowledge are substitutes for each other, and provide a micro-foundation for understanding why and how a firm's knowledge capabilities translate into performance of knowledge work. Copyright © 2007 John Wiley & Sons, Ltd.
Article
Like all teams, knowledge teams must acquire and manage critical resources in order to accomplish their work. The most critical resource for knowledge teams is expertise, or specialized skills and knowledge, but the mere presence of expertise on a team is insufficient to produce high-quality work. Expertise must be managed and coordinated in order to leverage its potential. That is, teams must be able to manage their skill and knowledge interdependencies effectively through expertise coordination, which entails knowing where expertise is located, knowing where expertise is needed, and bringing needed expertise to bear. This study investigates the importance of expertise coordination through a cross-sectional investigation of 69 software development teams. The analysis reveals that expertise coordination shows a strong relationship with team performance that remains significant over and above team input characteristics, presence of expertise, and administrative coordination.
Conference Paper
Knowledge sharing is an important issue to knowledge management. Because knowledge is considered as a resource of organization competition and a kind of strategic capital, the more the knowledge is expanded in an organization, the more the capacity of competition is. Although there are many theoretical literatures that suggest management means or normative rules to prompt knowledge sharing in an organization, it is difficult to evaluate the effect of knowledge sharing in an organization. The behavior of knowledge sharing among individuals in an organization is involved in the characteristics of knowledge, a conflict of interests, and interaction among actors and the organization that actors reside in. Therefore, the phenomenon of knowledge sharing is the result of dynamics, complexity, nonlinear interaction among knowledge seekers and providers, and the organization that actors belong to. In this paper, agent-based modeling is proposed for exploring the effect of knowledge sharing in an organization. The decisionmaking whether an actor share their knowledge with other is simply drawn an analogy to the prisoners' dilemma game. According to the different actor's payoff due to the characteristics of knowledge, the situations of knowledge sharing in an organization is discussed. According to the result of experiences, we found that no matter what types of knowledge sharing payoff matrices were, agents finally shared their knowledge with others. Nevertheless, most agents would take the Tit-for-Tat strategy.
Article
The adoption of extreme programming (XP) method requires a very peculiar cultural context in software development companies. However, stakeholders do not always consider this matter and tend to stand to technical requirements of the method. Hence this paper aims at identifying aspects of organizational culture that may influence favorably or unfavorably the use of XP. In order to identify those aspects, this study analyzes dimensions of organizational culture under the perspective of practices and values of XP. This paper is based on the review of the literature of the area and empirical observations carried out with six software companies. This study does not intend to develop a tool for measurement of XP’s compatibility with the organizational culture of each company. It intends to provide parameters (favorable and unfavorable aspects) for previous consideration of the convenience of XP implementation.
Article
The study examines the effects of social identity and knowledge quality on knowledge transfer across groups. One hundred and forty-four students performed a production task in three-person groups. Midway through the task, a member from a different group rotated into each group. The primary dependent variable was whether the group adopted the production routine of the rotating member. Analyses revealed the predicted main and interactive effects. Groups were more likely to adopt the routine of a rotator when they shared a superordinate social identity with that member than when they did not. Groups were also more likely to adopt a routine from a rotator when it was superior than when it was inferior to their own. Further, superordinate groups adopted the production routine of the rotator when it was superior but not inferior to their own, whereas groups that did not share a superordinate identity with the rotator generally did not adopt the rotator’s production routine, even when it was superior to their own and would have improved their performance.
Article
Structural Adaptation Theory proposes that it is more difficult for teams to change from competitive to cooperative reward conditions than it is for them to change in the opposite direction, and this has been labeled the cutthroat cooperation effect [Johnson, M. D., Hollenbeck, J. R., Ilgen, D. R., Humphrey, S. E., Meyer, C. J., & Jundt, D. K. (2006). Cutthroat cooperation: Asymmetrical adaptation of team reward structures. Academy of Management Journal, 49, 103–120]. The current study investigated whether team role discussion can neutralize this effect and promote successful adaptation from competitive to cooperative reward structures. Consistent with our predictions, in a study that involved 75 four-person teams performing a complex task under cooperative reward conditions, we found that teams with a history of competitive rewards performed worse than teams with a history of cooperative rewards in a control condition. However, this effect was neutralized when teams allocated their roles in a team role discussion. This neutralization effect was driven by behavioral coordination and unmet expectations regarding conflict.
Article
Knowledge transfer is considered to be an important topic for both researchers and practitioners. However, very little research has been pursued to understand the factors affecting knowledge transfer within teams, an important social unit within organizations. This study attempts to fill this void by examining factors that affect knowledge transfer within information systems development (ISD) teams. Taking a “connectionistic” epistemological perspective and drawing on the communications-based research on knowledge transfer, the theoretical model of the study proposes that the source's capability, credibility, and extent of communication will play an important role in determining the extent of knowledge transferred to recipients. Results from an empirical study involving student teams engaged in semester-long ISD projects supported the role of credibility and extent of communication. Interestingly, capability was not found to play a significant role in knowledge transfer. Possible explanations for this lack of significant effect of capability on knowledge transfer are presented.
Article
It has been assumed for years that process standardization in the development of software will improve the efficiency of the development project by the virtues of applying a learned procedure and tight controls. Past research, however, is inconclusive in the elements that must be in place to achieve the benefits. In this study, we employ the software quality principle of flexibility as a mediator variable to determine if certain design aspects play a key role in achieving the benefits to the project of process standardization. A survey of computer professionals indicates that software flexibility is a positive influence. System designers should apply standard processes but with an eye toward quality design principles.
Article
Before software project managers can enhance productivity and satisfaction of the software project team member, the effect of task characteristics, goal orientations, and coordination strategies on design and coding-task outcomes must be understood. A research model, which suggests that task interdependence, goal conflict, and coordination strategies significantly affect productivity and satisfaction associated with software design and coding activities, is presented. Issues such as contingency/design misfit, conflicting contingencies, and the extent of deviation to theoretically prescribed coordination mechanisms applied to contingencies are used to make predictions on productivity and process satisfaction. A 2x2x2 factorial experiment was utilized. Overall, projects characterized by low task interdependence exhibited greater productivity than projects with high task interdependence. Also, in general, organic coordination was more productive than mechanistic coordination. There was also a significant interaction between task interdependence and coordination strategy. Low goal conflict and organic coordination each lead to greater process satisfaction. Productivity results for the goal conflict manipulation was opposite to the hypothesized direction. Unconflicted contingencies addressed with consistent coordination and partially conflicted contingencies, regardless of the coordination used, exhibited significant gains in productivity. In comparison, unconflicted contingencies with inconsistent coordination and conflicted contingencies, regardless of the coordination applied, resulted in lower productivity. This suggests that there are instances where multiple contingencies, which warrant the use of different coordination strategies, can be adequately addressed with a specific coordination strategy.
Article
Virtual teams cut across national, organizational, and functional boundaries, often resulting in diversity in team composition. This paper presents the results of a laboratory study involving groupware-supported, culturally homogeneous, and heterogeneous virtual teams where collaborative conflict management style, a team's cultural orientation as measured by the degree of individualism-collectivism, and group diversity affect several group performance variables. Collaborative conflict management style was positively related to performance, group diversity was found to have a moderating influence between collaborative style and group performance, and collaborative style was influenced by the individualistic-collectivistic orientations. Consistent with prior research, we found that collectivistic orientations help enhance the level of collaborative conflict management style prevailing in teams. Our research also indicates that the process to motivate team members may differ depending on their orientation.