The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Pramodita Sharma - One of the best experts on this subject based on the ideXlab platform.
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a review and annotated bibliography of Family Business studies
2012Co-Authors: Pramodita Sharma, James J Chrisman, Jess H ChuaAbstract:Preface. 1: A Review of the Family Business Literature. Strategic Management as an Organizing Framework. Family Influence. Other Issues Studied. Conclusion. Suggested Research Questions. References. 2: A Classification of the Articles Annotated. 3: The Annotated Bibliography. 4: Bibliography of Articles not Annotated. 5: Subject Index.
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The practice-driven evolution of Family Business education
Journal of Business Research, 2007Co-Authors: Pramodita Sharma, Joseph H. Astrachan, Matti KoiranenAbstract:Abstract Starting from Calder's dissertation in the early fifties, key developments in Family Business education are presented in a 130-item chronology. The emergence of the field is tracked to the demand from practitioners rather than the pull of scholarly inquiry. Causal evolutionary drivers of variation, selective retention, and struggle for survival, provide a framework for understanding the past and current status of the knowledge base for Family Business and hinting at future development. The critical role of infrastructure – Family Business centers and professional associations – is evident in the path dependent evolution and growth of the field. Although the last two decades have witnessed rampant infrastructure growth and variety in offerings, some evidence of selective retention is beginning to surface. In the future, increasing competition and collaboration can be expected to lead to higher standards of Family Business education.
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four bases of Family Business successor commitment antecedents and consequences
Entrepreneurship Theory and Practice, 2005Co-Authors: Pramodita Sharma, Gregory P IrvingAbstract:Although successor commitment toward Family Business has been identified as a key desirable attribute, commitment has been treated as a unidimensional construct in Family Business research. Drawing on the organizational commitment literature, we propose four bases of successor commitment to Family firm—affective (based on perceived desire), normative (based on perceived sense of obligation), calculative (based on perceived opportunity costs involved), and imperative (based on perceived need). A model of antecedents and expected behavioral outcomes of each of these bases of commitment is developed. Related propositions are presented, as are the contributions to the literature, research and practical implications.
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four bases of Family Business successor commitment antecedents and consequences
Social Science Research Network, 2005Co-Authors: Pramodita Sharma, Gregory P IrvingAbstract:Four bases of Family Business successor commitment are explored: affective (based on perceived desire); normative (based on perceived sense of obligation); calculative (based on perceived opportunity costs involved); and imperative (based on perceived need).Models of antecedents and expected behavioral outcomes of each are developed. In addition, related propositions are presented as well as contributions to the literature, research, and practical implications. The investigation provides an understanding of the attitudes that compel next-generation members of Family-owned Businesses to pursue a career in their Family firms. Conclusions indicate that whether or not a successor's commitment to a Family Business is good or not depends mostly on what mind set underlies the commitment and why the Family member decided to pursue a career in the Family firm.The model developed will aid in developing a commitment profile or index for all Family members that will assist in making career decisions for next generation Family members, succession decisions for senior generation Family members, and decisions concerning the extent to which entrepreneurs decide to involve Family members in their ventures. (JSD)
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Family Business research a strategic reflection
Family Business Review, 2004Co-Authors: Shaker A Zahra, Pramodita SharmaAbstract:As research on Family Business continues to grow, six key trends have become evident. These trends include a continuing pursuit of a few research topics such as succession, a strong preference for practice-oriented research methods, a tendency to borrow heavily from other disciplines without giving back to these fields, and a strong preference to talk to other researchers conducting research on Family firms—failing to communicate with scholars from other disciplines. Therefore, we suggest strategies to expedite the growth of Family Business research toward better understanding the paradoxes faced by Family Business managers, deepen insights into the problems they encounter, improve rigor in reported research, find ways to promote a dialog with scholars in sister disciplines, and give back to the disciplines from which we borrow heavily.
Joseph F. Hair - One of the best experts on this subject based on the ideXlab platform.
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executing and interpreting applications of pls sem updates for Family Business researchers
Social Science Research Network, 2020Co-Authors: Joseph F. Hair, Claudia Binz Astrachan, Ovidiu Ioan Moisescu, Lăcrămioara Radomir, Marko Sarstedt, Santha Vaithilingam, Christian M RingleAbstract:The use of partial least squares structural equation modeling (PLS-SEM) has been gaining momentum in Family Business research. Since the publication of a PLS-SEM guidelines article in the Journal of Family Business Strategy’s special issue on “Innovative and Established Research Methods in Family Business” in 2014, methodological research has developed new model evaluation methods and metrics and sharpened our understanding of the method’s strengths and limitations. In light of these developments, we extend prior guidelines on PLS-SEM applications by discussing new model evaluation procedures (e.g., model selection) and metrics (e.g., PLSpredict). In addition, we highlight the usefulness of methodological extensions for discrete choice modeling and endogeneity assessment that considerably extend the scope of the PLS-SEM method, and emerging opportunities for the application of PLS-SEM with archival (secondary) data. PLS-SEM remains a valuable method in the context of Family Business research, especially when it comes to gaining a more sophisticated understanding of the drivers of Family Business behavior. Because of its properties, the PLS-SEM approach proves particularly valuable when the aim is to predict target variables (e.g., Family firm performance) in the context of a causal model.
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partial least squares structural equation modeling pls sem a useful tool for Family Business researchers
2014Co-Authors: Christian M Ringle, Marko Sarstedt, Donna Smith, Russell Reams, Joseph F. HairAbstract:Structural equation modeling (SEM) has become a mainstream method in many fields of Business research, but its use in Family Business research remains in its infancy. This lag in SEM’s application holds especially true for partial least squares SEM (PLS-SEM), an alternative to covariance-based SEM, which provides researchers with more flexibility in terms of data requirements, model complexity and relationship specification. This article draws attention to PLS-SEM as an opportunity to advance the development and testing of theory in Family Business research by providing a non-technical introduction into the basic concepts and issues of PLS-SEM, bearing the needs of potential users in mind. To this end, a systematic procedure for PLS-SEM results evaluation is presented and applied to an annotated example. The article also illustrates the analysis of mediating effects, which researchers are increasingly testing in their models.
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Correspondence Analysis: A Promising Technique to Interpret Qualitative Data in Family Business Research
Journal of Family Business Strategy, 2014Co-Authors: Jerry Kudlats, Arthur H Money, Joseph F. HairAbstract:Abstract Qualitative research is frequently utilized in Family Business research. Reporting on qualitative research findings typically involves summarizing themes or approaches, or tabulating the frequency of mentions for topics, phrases or words. Correspondence analysis is a method that is seldom used in Family Business research but could likely facilitate improved interpretation and communication of qualitative research results. In this article we provide an overview of the method, and an example of its application to a Family Business research study. We believe this article will expand awareness of this little used method and provide a foundation for more clearly communicating the results of qualitative Family Business research projects.
Marko Sarstedt - One of the best experts on this subject based on the ideXlab platform.
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executing and interpreting applications of pls sem updates for Family Business researchers
Social Science Research Network, 2020Co-Authors: Joseph F. Hair, Claudia Binz Astrachan, Ovidiu Ioan Moisescu, Lăcrămioara Radomir, Marko Sarstedt, Santha Vaithilingam, Christian M RingleAbstract:The use of partial least squares structural equation modeling (PLS-SEM) has been gaining momentum in Family Business research. Since the publication of a PLS-SEM guidelines article in the Journal of Family Business Strategy’s special issue on “Innovative and Established Research Methods in Family Business” in 2014, methodological research has developed new model evaluation methods and metrics and sharpened our understanding of the method’s strengths and limitations. In light of these developments, we extend prior guidelines on PLS-SEM applications by discussing new model evaluation procedures (e.g., model selection) and metrics (e.g., PLSpredict). In addition, we highlight the usefulness of methodological extensions for discrete choice modeling and endogeneity assessment that considerably extend the scope of the PLS-SEM method, and emerging opportunities for the application of PLS-SEM with archival (secondary) data. PLS-SEM remains a valuable method in the context of Family Business research, especially when it comes to gaining a more sophisticated understanding of the drivers of Family Business behavior. Because of its properties, the PLS-SEM approach proves particularly valuable when the aim is to predict target variables (e.g., Family firm performance) in the context of a causal model.
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partial least squares structural equation modeling pls sem a useful tool for Family Business researchers
2014Co-Authors: Christian M Ringle, Marko Sarstedt, Donna Smith, Russell Reams, Joseph F. HairAbstract:Structural equation modeling (SEM) has become a mainstream method in many fields of Business research, but its use in Family Business research remains in its infancy. This lag in SEM’s application holds especially true for partial least squares SEM (PLS-SEM), an alternative to covariance-based SEM, which provides researchers with more flexibility in terms of data requirements, model complexity and relationship specification. This article draws attention to PLS-SEM as an opportunity to advance the development and testing of theory in Family Business research by providing a non-technical introduction into the basic concepts and issues of PLS-SEM, bearing the needs of potential users in mind. To this end, a systematic procedure for PLS-SEM results evaluation is presented and applied to an annotated example. The article also illustrates the analysis of mediating effects, which researchers are increasingly testing in their models.
Christian M Ringle - One of the best experts on this subject based on the ideXlab platform.
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executing and interpreting applications of pls sem updates for Family Business researchers
Social Science Research Network, 2020Co-Authors: Joseph F. Hair, Claudia Binz Astrachan, Ovidiu Ioan Moisescu, Lăcrămioara Radomir, Marko Sarstedt, Santha Vaithilingam, Christian M RingleAbstract:The use of partial least squares structural equation modeling (PLS-SEM) has been gaining momentum in Family Business research. Since the publication of a PLS-SEM guidelines article in the Journal of Family Business Strategy’s special issue on “Innovative and Established Research Methods in Family Business” in 2014, methodological research has developed new model evaluation methods and metrics and sharpened our understanding of the method’s strengths and limitations. In light of these developments, we extend prior guidelines on PLS-SEM applications by discussing new model evaluation procedures (e.g., model selection) and metrics (e.g., PLSpredict). In addition, we highlight the usefulness of methodological extensions for discrete choice modeling and endogeneity assessment that considerably extend the scope of the PLS-SEM method, and emerging opportunities for the application of PLS-SEM with archival (secondary) data. PLS-SEM remains a valuable method in the context of Family Business research, especially when it comes to gaining a more sophisticated understanding of the drivers of Family Business behavior. Because of its properties, the PLS-SEM approach proves particularly valuable when the aim is to predict target variables (e.g., Family firm performance) in the context of a causal model.
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partial least squares structural equation modeling pls sem a useful tool for Family Business researchers
2014Co-Authors: Christian M Ringle, Marko Sarstedt, Donna Smith, Russell Reams, Joseph F. HairAbstract:Structural equation modeling (SEM) has become a mainstream method in many fields of Business research, but its use in Family Business research remains in its infancy. This lag in SEM’s application holds especially true for partial least squares SEM (PLS-SEM), an alternative to covariance-based SEM, which provides researchers with more flexibility in terms of data requirements, model complexity and relationship specification. This article draws attention to PLS-SEM as an opportunity to advance the development and testing of theory in Family Business research by providing a non-technical introduction into the basic concepts and issues of PLS-SEM, bearing the needs of potential users in mind. To this end, a systematic procedure for PLS-SEM results evaluation is presented and applied to an annotated example. The article also illustrates the analysis of mediating effects, which researchers are increasingly testing in their models.
James J Chrisman - One of the best experts on this subject based on the ideXlab platform.
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new venture and Family Business teams understanding team formation composition behaviors and performance
Entrepreneurship Theory and Practice, 2013Co-Authors: Leon Schjoedt, Allison W Pearson, Erik Monsen, Tim Barnett, James J ChrismanAbstract:New ventures are frequently started by entrepreneurial teams rather than lone entrepreneurs. Often, team members have Family ties. Yet, there has been relatively little research on new venture and Family Business teams. The papers in this special issue address this gap by studying team formation and composition, faultlines among team members, generational involvement in teams, the influence of shared organizational experience and functional homogeneity, and the likelihood of couples, biologically related, and unrelated teams achieving first sales. Combined, they suggest that relationships are more important than skill diversity in determining the effectiveness of both Family Business and new venture teams.
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a review and annotated bibliography of Family Business studies
2012Co-Authors: Pramodita Sharma, James J Chrisman, Jess H ChuaAbstract:Preface. 1: A Review of the Family Business Literature. Strategic Management as an Organizing Framework. Family Influence. Other Issues Studied. Conclusion. Suggested Research Questions. References. 2: A Classification of the Articles Annotated. 3: The Annotated Bibliography. 4: Bibliography of Articles not Annotated. 5: Subject Index.
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intellectual foundations of current research in Family Business an identification and review of 25 influential articles
Family Business Review, 2010Co-Authors: James J Chrisman, Franz W Kellermanns, Kam C Chan, Kartono LianoAbstract:This article identifies 25 articles that have been particularly influential in shaping the state of the art of research on Family Businesses. These works were identified based on a citation analysis of Family Business articles published over the past 6 years in the four journals that publish most of the research. The authors summarize those influential studies and discuss their most important contributions to scholars’ current understanding of Family Business. By identifying common themes among those studies, the authors are able to provide directions for future research in the field.
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Family Business Research in the New Millennium An Overview of the Who, the Where, the What, and the Why
Family Business Review, 2009Co-Authors: Bart J. Debicki, Franz W Kellermanns, Curtis F. Matherne, James J ChrismanAbstract:The authors' analysis of 291 Family Business articles published in 30 management journals between 2001 and 2007 reports the contributions of individual scholars and academic institutions to Family Business research. To better understand the interrelationships among scholars who have contributed to Family Business research, a network analysis of coauthor relationships was conducted. The authors also provide a content analysis of the articles and offer suggestions for future research. By analyzing the who, where, and what of Family Business research, the reasons why the developmental trends have occurred and how the field's momentum can be maintained and directed toward productive ends become clearer.
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defining the Family Business by behavior
Entrepreneurship Theory and Practice, 1999Co-Authors: Jess H Chua, James J Chrisman, Pramodita SharmaAbstract:It is generally accepted that a Family's involvement in the Business makes the Family Business unique; but the literature continues to have difficulty defining the Family Business. We argue for a d...
