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Logistics systems used in companies that perform multiple roles are expected to be able to manage conflicting objectives. Nevertheless, the literature suggests that many existing logistics performance measurement system (PMS) frameworks are not optimized to provide mechanisms to reveal dynamic relationships between conflicting performance indicators. The purpose of this paper is to develop a new logistics PMS by linking the system dynamics model with a set of balanced performance indicators.

The logistics PMS is developed through a literature review and case study of a company that plays multiple roles. The interrelationships between logistics factors and their links to end results are modeled in diagrams through in-depth interviews with stakeholders. The developed model is then used to build a simulation tool to analyze factors that cause poor performance.

The new logistics PMS developed by incorporating system dynamics offers decision makers ways to identify dynamic relationships among factors and conflicting indicators, in turn helping them to understand holistic logistics performance, objectively analyze why logistics systems perform in a certain way and foster a common shared view.

Stakeholders of companies that play multiple roles can use the new PMS model to comprehensively evaluate the performance of logistics systems. In addition, the increased visibility of logistics systems may support decision-making while preventing local optimization.

A logistical PMS based on the system dynamics model for managing logistics systems in companies performing multiple roles has not yet been identified. This paper fills this theoretical gap and contributes to the academic literature by proposing a novel PMS model based on the system dynamics model to address the limitations of existing PMS frameworks.

Women entrepreneurship is the fundamental carter of economic development. This study aims to identify the dynamics that encourage entrepreneurial attitudes among women in MENA countries. More precisely, it required to scrutinize the role of the government, role models, the entrepreneurial training and women’s demographic characteristics in encouraging women to embrace entrepreneurship.

This study is based on primary data, where data were gathered from a sample of 300 women from MENA countries through a self-administered questionnaire and were subjected to one-way ANOVA tests. Different statistical tools were used to draw some valued conclusions from the gathered data. The study reveals that women entrepreneurs acknowledge the role played by the government, entrepreneurship training, role models and demographic variables in encouraging them to embrace entrepreneurship.

The government and the entrepreneurial training were found to be the greatest variables encouraging women to embrace entrepreneurship. Nevertheless, the low overall mean exhibited that most women do not believe that these bodies have played their role satisfactorily. Whereas the ANOVA results reveal that age and work experience were not important dynamics behind encouraging women to embrace entrepreneurship.

Data were collected from a sample of 300 women entrepreneurs with a simple random sampling technique from the following MENA countries: Oman, Qatar, Egypt, Jordan, Saudi Arabia and United Arab Emirates. It is too difficult to approach the women respondents and then collect data from them especially in MENA countries; hence the sample is small and limited.

However, such studies are still in the minority, and, with few exceptions, most have been published in the niche. The study finds imperative for policymakers to go beyond measures that aim to address the challenges that individual women entrepreneurs face and to study the institutional framework affecting women entrepreneurship in relationship to motivations and resources. Additional care is desired to compel the environment and context to eliminate barriers to women entrepreneurship at source. The government should play a significant role in encouraging women to embrace entrepreneurship, especially in times of economic slowdown. World-wide, women are under-represented among the population of entrepreneurs, and they tend to have different motivations and intentions. The first, and most obvious, implication highlights governments need to create special funds for unlocking the potential by enhancing their levels of entrepreneurship skills using the traditional instruments such as training. The government should come up with new and specific training programmes, providing support for growth-oriented women entrepreneurs with dedicated business incubator and business accelerator programmes.

Entrepreneurs are strongly influenced by role models and social context. It is therefore important to promote women entrepreneurs as role models and ensure that the education system is gender-neutral and does not discourage women from going into different fields. Finally, more targeted actions can be taken to ensure that family policies, social policies and tax policies do not discriminate against entrepreneurship by women.

The author believes that only few entrepreneurship researchers are interested in feminist epistemology, disappointingly the more advanced understanding of feminism witnessed in sociology and the political science literature is not reflected in the field of entrepreneurship. Hence, there is a need for investigate the dynamics like government role, entrepreneurial training, role models and demographic characteristics, to have a fuller understanding of how they affect, to ensure a more accurate assessment of the outcomes for the development of women entrepreneurs in MENA countries. This study is an attempt to investigate the dynamics such as government role, entrepreneurial training, role models and demographic characteristics that encourage women to embrace entrepreneurship in MENA countries.

This paper aims to examine the dynamics of a community of practice (CoP) through a case study of eCars – Now! They offer open-source blueprints of the electric conversion kits globally. The authors analysed the CoP by considering its entire life cycle, starting from the motives for its establishment, through its active performance, up to the current stage, where the members need to decide whether the community will remain viable. Particular attention was paid to the group dynamics and issues that seemed relevant to the change in dynamics which determine whether a CoP maintains its vitality or dissipates.

The qualitative case study was chosen as the research strategy (Yin, 1984) to answer the research question and understand the target phenomenon of the CoP by analysing textual data. This particular case was chosen because of its unusual revelatory value for the case CoP which aims at creating a tangible innovation by using a platform that normally aims at intangible problem-solving (Eisenhardt and Graebner, 2007). In the data collection, the authors used method and researcher triangulation (Patton, 1990).

Life cycle analysis revealed four themes that explained the change in the group dynamics and the dispersal of the community: differentiation and dispersal of interests, growth that resulted in role differentiation, virtuality in community development and inclusion of investors. The themes were all related to the fact that the case community operated with not only knowledge, but also with a tangible product. Therefore, the tangibility of a problem to be solved seems to play a pivotal role in a CoP’s operations and dynamics and, in part, also explains the changing role of information and communications technology (ICT) in the process.

However, this paper identified also different ways to characterize community participation, which was also relevant from group dynamics point of view. Thus, the topic should be studied further. Group dynamics in general, as it relates to the success of CoPs, should be also investigated further. Additional studies should implement the inclusion of external resources in the community. Further research is also needed to investigate tangible and intangible outcomes achieved through CoPs. Much of the available research was conducted over short periods; prolonged interactions in a CoP context could show different results.

In conclusion, at the beginning of the life cycle of the eCars community, ICT played a significant role. It helped increase awareness of the community in the first place and enabled people to join in, which thus enabled the community to evolve. When the operations evolved and the life cycle progressed, both the physical meeting place as well as personal interaction and communication became emphasized and much more important. In the maturing stage, the role of ICT, and especially social media, is the essential part of the community.

This analysis suggests that at the early stage of a community, the plans can be somewhat random, even utopian, but when the community evolves, this uncertainty can become a problem. First, it affects achieving the actual, and in this case, concrete results. Second, uncertainty and unclarity dampen enthusiasm and motivation, which are of utmost importance due to the voluntary participation. This paper also concludes that when the operations evolved and the life cycle progressed, both the physical meeting place as well as personal interaction and communication became increasingly important.

This paper argues that the ideological basis for this kind of community should be openness. All information should be available for everyone who registers to the community platform on the internet. This community was working in the mindset of open innovation. Technical documentation and all other material were available for everyone in the community’s wiki pages, which attracted a lot of people who were delighted by eCars. Many advisors delivered technical information and good advice to the practitioners of the community through the platform. The hang arounds were also very well-informed in this stage regarding how the core group was working.

In this chapter, the authors examine the use of deceit to drive routine emergence. The authors do so by tracing the relationship among deceit, roles, and routine dynamics in the context of Romeo pimps and the women they lure into sex trafficking. Previous research has focused on routine participants openly negotiating their roles and expected interactions during the (re) creation of routines. In contrast, this study shows how Romeo pimps use deceit to control the co-constitution of roles and increasingly coercive actions of the “Romeo pimp routine” – a process of premeditated routine emergence designed to entrap the women. The authors contribute to the literature on routine dynamics by emphasizing the unexplored influence of deceit on the interplay between roles and routines. Bringing deception to center stage in routine dynamics highlights the importance of linking actors and actions to motivations that exist behind the veil of transparently observable behavior.

Only a few concepts in the service literature are as pervasive yet as undertheorized as is the concept of the actor. With a growing interest toward value creation as a systemic and institutionally guided phenomenon, there is a particular need for a more robust conceptualization of humans as actors that adopts a processual, as opposed to a static, view. The purpose of this paper is to build such processual conceptualization to advance service-dominant (S-D) logic, in particular, and service research, in general.

The paper is conceptual and extends S-D logic's institutionally constituted account of the actor by drawing from identity theory and social constructionism.

The paper develops a processual conceptualization of the human actor that explicates four social processes explaining the dynamics between two identity concepts—social and personal identity—and institutional arrangements. The resulting framework reveals how humans are simultaneously constituted by institutions and able to perform their roles in varying, even institution-changing, ways.

By introducing new insights from identity theory and social constructionism, this paper reconciles the dualism in S-D logic's current description of actors, as well as posits the understanding of identity dynamics and the processual nature of actors as central in many service-related phenomena.

This paper is among the few that explicitly theorize about the nature of human actors in S-D logic and the service literature.

While previous research acknowledges the influence of roles on routine dynamics, roles are largely taken for granted. The purpose of this paper aims at examining how roles and routines interplay in accomplishing work in organizations.

A four-year ethnography of an emergency department (ED) at a university hospital was conducted through observations, interviews and documents.

Roles and routines are formed by scripted and unscripted patterns, which are brought into performances following a situational assessment. Performances trigger patterning processes prompting the co-construction of role and routine patterns.

This study highlights the importance of designing flexible structures. Managers can benefit from identifying unscripted patterns critical to work performance and making them part of scripted patterns. Managers should contemplate the influence that individuals, their relations and context have on how work is done.

This study suggests that the existence of different patterns impacts the length of wait times in EDs, a societal issue worldwide because of the effects that waiting can have on the patient's health condition and the unnecessary costs it carries. This study can help design solutions to decrease wait times.

This paper contributes to research on routine dynamics by providing a more nuanced explanation of the sources of endogenous change and how these enable organizational stability and flexibility.

GM has initiated partnerships with firms and research institutions at a rapid pace. One effort of the multi‐disciplinary research team involved the construction of a relationship dynamics model to assist in partnership planning and management. Earlier research on private‐sector partnerships indicated that partnership success is largely dependent upon the development and maintenance of strong, productive relationships between the partners. Therefore, modeling efforts focused on the relationship itself. To increase the likelihood that the resulting model is realistic, valid and representative, empirical data was combined with a systems‐dynamics approach, and the model is being validated with feedback from study participants.

My purpose is to describe for strategic management scholars in Africa, particularly graduate students and new faculty members, dynamic analysis and its significance in the African context so as to assist in the study of dynamic phenomena.

I discuss various types and methods of dynamic analysis. Dynamic analysis has been used extensively in such fields as cognitive psychology, social psychology, and management in Western countries.

I illustrate the various dynamics by reviewing four illustrative studies. I also provide procedures for studying dynamics in the African context.

I discuss the strengths and limitations of dynamic analysis and suggest ways of maximizing its potential.

The technique is a source particularly for graduate students of strategy in Africa. They can use it to supplement other approaches in studying strategic management phenomena.

This chapter discusses a typology of dynamic analysis consistent with empirical or variable modeling approaches. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the research methodology literature.

The environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.

Using a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.

A broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.

Firms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.

This study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

This study aims to analyze the impact of digital transformation on firm performance within the banking sector, specifically focusing on the Amman Stock Exchange (ASE)-listed banks from 2015 to 2022. Additionally, it explores the influence of gender dynamics on the implementation and outcomes of these digital transformation initiatives.

The study adopts a robust empirical approach, using manual content analysis of annual reports from ASE-listed banks. The Digital Transformation Disclosure Index (DTDI) is used to assess the extent and nature of digital transformation initiatives within these banks. The methodology is designed to provide a comprehensive evaluation of the correlation between digital transformation efforts, firm performance and gender dynamics.

The research reveals that digital transformation initiatives have a significant positive impact on the performance of ASE-listed banks. It also uncovers nuanced insights into the role of gender dynamics, indicating that gender diversity within firms influences the adoption and success of digital transformation strategies in complex ways.

The findings of this study contribute to the understanding of digital transformation in the banking sector, offering empirical evidence on its benefits for firm performance. Additionally, the study illuminates the intricate role of gender dynamics in digital transformation, providing a new perspective on organizational diversity within the context of technological change.

This research pioneers in academically linking digital transformation and gender dynamics within the banking sector, addressing a notable gap and introducing a fresh academic perspective. Practically, it equips banking executives and policymakers with actionable insights for gender-inclusive digital strategies, crucial for enhanced firm performance. Methodologically, the study sets a benchmark in research innovation, using the DTDI to offer a replicable model for future investigations in this evolving field.