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To examine the impact of emotional, social, and cognitive intelligences on the dimensions of transformational leadership using both paper‐and‐pencil measures and assessment center dimensions.

Multiple measurement methodologies were used to conceptualize emotional, cognitive, and social intelligence. Subordinate ratings of three dimensions of transformational leadership were used as the criteria. Correlation analysis and a series of multiple hierarchical regressions were used to determine the relationship between the multiple intelligences and three dimensions of transformational leadership.

Results indicate that a multiple intelligences framework is a useful approach to predict transformational leadership. Correlation analyses and multiple regression results indicated that the multiple intelligence framework explained between 10 and 25 percent of the variance in perceptions of transformational leadership and that assessment center dimensions explained additional variance beyond paper‐and‐pencil measures in transformational leadership.

This paper extends previous research by examining the impact of cognitive, emotional, and social intelligences on transformational leadership using multiple measurement methodologies. The results of this study provide a useful framework for practitioners interested in assessing precursors to transformational leadership, with a focus on assessment centers as a useful tool for predicting transformational leadership.

The purpose of this paper is to review the current state of survey-based SCM research that employs a multiple-informant perspective. Recommendations on how to rigorously conduct such research are developed, strengths and limitations discussed, and opportunities for advancing the discipline through this approach identified.

A systematic literature review (SLR) of 1,048 articles published in five leading SCM journals within a seven-year time frame is conducted.

The review shows that multiple-informant studies are still largely under-represented. Yet this approach more accurately depicts the multi-faceted nature of SCM. Specific requirements of this approach need to be considered throughout the research process, from unit of analysis, sampling frame, and data collection to analytic strategy.

Taking into account the often complex, dynamic actor networks in which SCM phenomena are embedded may provide new insights, especially when controversial results have been found. This approach may also enrich the understanding of phenomena that have previously been examined only from a monadic perspective.

The paper examines the low incidence of multiple-informant survey research in SCM, discusses how its application can advance the field, and provides guidance on how to effectively apply this approach to more fully understand complex SCM phenomena. It further shows that studies using multiple informants yield novel theoretical insights and valuable recommendations for decision makers on how to use the interfaces between different actors across functional and organizational borders.

This chapter includes a citation analysis of the first 16 volumes of Advances in Accounting Education: Teaching and Curriculum Innovations (henceforth, Advances in Accounting Education). Using this analysis, we identified the top 20 articles of the 195 articles published. This analysis provides an understanding of the relative contribution and impact of the papers published in Advances in Accounting Education, and the information provides past authors with a measure of how their contributions compare with the contributions of other authors. Also, this analysis may be valuable for potential contributors who are developing a research topic in that it will enable them to identify the types of articles that have traditionally had the greatest impact.

We also identify the top 30 authors of the 383 who have published in the journal. This analysis not only gives feedback to the authors listed, but also helps accounting education researchers identify authors whose work may be relevant to their interests.

We report the research categories (issues) and methodologies used for all articles published from 1998 to 2015 in Advances in Accounting Education. We also compare the research issues and research methodologies used in Advances in Accounting Education to those in the Journal of Accounting Education and Issues in Accounting Education for the period 2006–2015. Authors considering submitting a manuscript to one of these journals can use this information to determine which journal might be the best fit for their work.

Social and environmental accountability by firms can be compromised by a lack of democracy within community engagement and decision-making processes. This is particularly evident in potential conflict situations such as with unconventional gas (UCG) extraction. Dialogic engagement sits within dialogic accounting theory and offers a potentially valuable contribution to democratisation. This study aims to contribute to dialogic engagement as practice through the application of critical futures theory and methodology, causal layered analysis (CLA).

CLA was applied in field research firstly in interviews and then in a workshop setting involving participants with diverse perspectives on UCG. The workshop was planned around activities designed to: implement dialogic engagement as practice, critically unpack views on the present and future of UCG and energy needs through CLA; and evaluate the usefulness of the methodology.

Findings suggest that CLA enables access to multiple, complex and nuanced perspectives and facilitates, a deeper understanding of participants own views and of other differing views in relation to UCG, 1) a deeper understanding of participants own views, and of other differing views in relation to UCG, 2) a deeper analysis in the identification of key themes in discussions around UCG, and, 3) the identification by participants of “preferred futures” and “uncertainties” concerning energy needs.

CLA is a valuable tool for undertaking genuine community engagement and has wide-ranging application, one example being with interviews and focus groups. Moreover, with the inclusion of diverse perspectives, options and solutions emerging for consideration are increased. This in turn provides opportunities for creative decision-making through scenario identification and strategic development that potentially give rise to transformative possibilities.

CLA may well assist in moving firms, and indeed civil society, closer to reaching preferable social and environmental outcomes.

This cross-disciplinary research applies an innovative approach and methodology, taking democratic engagement to new depths.

The purpose of this study is to identify the business strategies that entrepreneurs have formulated to establish the business with the intention of scaling up in the information technology (IT) sector in Chile, given that they have managed to scale up sustainably at an average annual rate of 73.3% and an average annual employee growth rate of 37% for four consecutive years after an establishment period of 25 months.

Three methodological steps were used to identify which strategic initiatives are relevant to the establishment of small- and medium-sized enterprises (SMEs) on the path to scaling up. The first part consisted of identifying the literature and defining the research propositions and research questions. The second part was to prepare, collect and analyse the data to conduct the research by applying, transcribing, reviewing and coding the sources of evidence to explore how SMEs are able to develop strategic initiatives for the start-up process. The final stage was to validate the research proposal to identify potential strategic initiatives identified during the multi-case study.

As a result of the data analysis and empirical findings, three deliberate strategic initiatives were identified: staying engaged with customers, delivering successful business solutions and articulating social capital. However, in crisis situations, entrepreneurs readjust their strategies based on their management skills and an emergent strategic initiative was identified as securing the financial structure and revolutionising change. While this research was not designed to identify personal attributes, it did highlight the importance of adaptation and learning as a skill to drive the business model for scaling up during the establishment of their business.

It is clear that the study focused on Chile and cannot be replicated in other regions or sectors due to the characteristics of the sample itself, but it provides empirical evidence that there are cycles prior to scale up that need to be understood. The findings were empirically validated during the establishment phase, but the deliberate and emergent strategic initiatives that consolidated the SME to prepare for its scale-up process are not evident in the theory.

The IT sector will continue to grow and change after the pandemic, and the global economy will use more digital systems, creating new ways of working with the use of IT. This context will impact on SMEs where strategies, whether deliberate or emergent, will need to be part of the new business models, and therefore, caution should be exercised when using the results of this study. Public and private institutions should educate and guide entrepreneurs for the potential scaling up of their SMEs without having to wait 42 months, according to Global Entrepreneurship Monitor 2021-2022 (Hill et al., 2022). Scaling up can begin as early as 25 months after establishment, breaking the paradigm of the theory that the SME must be established in a period of 3.5 years. This period cannot be generalised as business opportunities in the IT sector are faster. The research also contributes by reporting that contingency planning is relevant during the establishment phase.

Educational institutions and the public sector have made efforts to change business cultures regarding the importance of strengthening entrepreneurship, but teaching the emergent strategies that often challenge SME creation is not yet widespread in educational formats. This is a challenge not only for institutions but also for entrepreneurs trying to anticipate the constant changes in the global economy. This research provides an opportunity to create more dynamic business models with more conscious risk planning.

Although the literature has confirmed the findings, this research has provided a pre-scaling picture that links these two important stages on the axis of deliberate and emergent strategies. The findings confirm the importance of correctly embedding five strategic initiatives for the establishment of the SME if it is to continue on its journey towards business scale-up. However, there is a lack of empirical evidence in emerging economies on how entrepreneurs have found the right path to scale-up.

This study attempts to identify the supply chain risks (SCRs) induced during the COVID-19 disruption in an Indian handloom saree industry and determine suitable risk mitigation strategies (RMSs) to overcome the impact of the epidemic disruption.

This work determined 11 SCRs through an extensive literature review in the context of the handloom apparel industry and validated through the experts. Further, a multiple case-based approach is used in this research. Within case and cross-case analyses of four relevant Indian handloom “make-to-order” saree manufacturing firms are conducted to determine the severity of the SCRs considering the pandemic situations to identify appropriate strategies to mitigate the shock of SCRs.

This study identified the critical SCRs in the context of the Indian handloom “make-to-order” saree industries that emerged during the COVID-19 and proposed a risk mitigation strategy matrix (RMSM) to address the SCRs based on their criticality and predictability dimensions.

The study provides a novel contribution to the body of knowledge on supply chain risk management (SCRM) in the form of the RMSM tool. Supply chain managers from the different sectors can extend the proposed RMSM to overcome the SCRs. Multiple case analyses facilitate supply chain professionals working in handloom apparel industries to benchmark and adopt the proposed RMSs in their firm.

This research is one of its kind that carried exploratory investigation of the handloom apparel industry cases to assess and determine the strategies for mitigating the SCRs caused during a pandemic outbreak.

This chapter reflects on the concept of knowledge – or perhaps, more accurately, the multiple knowledges – generated in this field of study. We consider, through drawing on some of the examples of ways in which knowledge about out-of-school learning is constructed in the case studies, issues such as the authenticity and value of knowledges pertinent to this field, the power structures and knowledge hierarchies involved and the localised sites of such knowledge production. We conclude with some thoughts about how researchers can manage the tensions involved in making decisions about whether to try to integrate or to keep separate such multiple forms of knowledge.

Even though the crowdfunding (CF) literature is rapidly reaching its maturity phase, the topic of serial CF (i.e. the participation in more than one CF campaign) is as much promising as still largely under explored. This study thus aims to offer a thorough view of the dynamic and complex processes characterizing the participation of the start-ups to more than one campaign adopting a business network perspective.

In line with an explorative research aim, a multiple case study analysis is performed by taking into consideration four start-ups engaged in more than one CF campaigns with different combinations of equity and non-equity CF, adopting the actor–resource–activity (ARA) model as theoretical framework.

Multiple CF campaigns are embedded in the overall changing startup’s network and are affected by the concurrent and overlapping startup’s development processes. From this standpoint, the adoption of the ARA model suggests to reconsider the “serial” dimension of multiple CF campaigns. These processes can be more or less “linear” as they could be affected by the combination of CF schemes and by the degree of alignment of actors, activities and resources, whose “assembly” can be facilitated by learning processes and impaired by unexpected circumstances.

This paper explores in depth the startup’s serial CF journey, building on recent studies calling for stronger analyses of the directions and outcomes of innovative funding trajectories pursued and implemented by new business ventures. From this standpoint, to the best of the authors’ knowledge, this is the first study to consider a complete spectrum of combinations between CF schemes within serial CF, thus allowing for a better understanding of the role of such a factor within a dynamic and contextual view, that is, that offered by the business network perspective. This paper also contributes to the Industrial Marketing and Purchasing research on start-ups.

The purpose of this paper is to identify various risk drivers which affect a food processing supply chain and to create a map of how those risk drivers propagate risks through the supply chain and impact important performance measures.

This study involves experts from food processing companies to elucidate the contextual relationships among the risk drivers and between risk drivers and performance measures. This is used to quantify the relationships and to determine the indirect and overall relationships applying Fuzzy Interpretive Structural Modeling.

Three categories of risk drivers which Indian food processing companies need to pay maximum attention to minimize risks are identified. These are supplier dependency and contracting, supplier variability, visibility and traceability and manufacturing disruptions. Analysis shows that collaborating with suppliers and logistics service providers, developing mutually beneficial contracts with them while ensuring that adequate technology investments are made can significantly mitigate risks and consequently improve margins and lead to revenue growth.

This study has been carried out with experts from large food processing companies in India, and hence, the results cannot be generalized across other types of food processing companies.

The proposed methodology can help understand the interrelationships between supply chain risks and between those risks and performance measures. Thus, it can help a food processing company to create business cases for specific supply chain risk mitigation projects.

This study is one of the earliest to create a comprehensive risk propagation map for food processing companies which helps in quantifying the impact the risk drivers have on each other and on performance measures.

Business functions and business processes are two constructs that have emerged as key elements of the Reengineering and Benchmarking discourses. Historically there has been an implied dichotomy between functional “silos” and cross‐functional processes. It is contended that the resultant dualism has led to oversimplification of the interfaces in process based organisations. Seeks to extend the function‐process organisational constructs into a more multi‐faceted issue where many differing organisational groupings are linked by business processes, as in the case of network organisations. A multiple case research methodology was applied to organisations, which were at different stages of function‐process development. The key research question was to determine the key factors involved as an organisation moved from a more simple function‐process perspective to a more complex network‐process development. The findings indicated that process benchmarking was a key element throughout this development and that the approach taken to benchmarking also changed throughout.