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The purpose of this study is to explore how the personal traits of the informal entrepreneurs influence their formalization decisions.

This study adopted a qualitative approach using a multicase design in which 28 informal entrepreneurs situated in Kampala district, Uganda, were engaged. An interview guide, recorders and note books were used in data collection.

The results indicate that the traits of informal and semiformal entrepreneurs are distinct. Informal entrepreneurs have been noted to be more courageous and resilient, while their semiformal counterparts have greater passion for their businesses. It is thus observed that the formalization prospects are higher for the semiformal entrepreneurs than for their informal counterparts. Entrepreneurs that would be willing to formalize their businesses are discouraged by distance, technology and the cost of involving middlemen. Whereas the resilient entrepreneurs are noted to work through these challenges, the passive ones in both the informal and semiformal categories will not formalize their businesses by giving such excuses.

This study contributes to the extant literature on informal entrepreneurship by providing initial empirical evidence on how the personal traits of the entrepreneurs influence their formalization decisions specifically.

This study aims to identify the legitimacy issues raised during a sustainable business model innovation, deployed by an Italian company, which was analyzed through the lens of the legitimation theory and the business model innovation theory.

A single case study methodology is employed for empirical research. Semistructured interviews, with top and middle management, were conducted together with the analysis of several internal and external documents, to corroborate the case analysis.

Results show how the potentiality of digital technologies allows the development of new sustainable business models, which, though, still need to gain legitimation to be accepted. The study findings allow drawing both on the business model innovation theory and on the legitimation theory, as they show how legitimation is a dynamic concept that involves internal as well as external stakeholders to support business model innovation.

The paper is novel, since it addresses the topic of sustainable business models development, showing how companies can get legitimation. The paper builds on existing theories and provides a practical example.

Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?

The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.

The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.

The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.

Even with the recognized impact organizational leaders have on the outcome of digital transformation (DT), a comprehensive scholarly understanding of the competencies that leaders must possess to lead a DT to success is lacking.

To derive and list the competencies considered by experts as necessary for managing DT, the authors recruited 18 international senior managers with relevant experience and applied the Delphi method to survey the managers. Upon the completion of three survey rounds and the authors modifying the response list until consensus was reached, 39 items were shortlisted as constituting key competencies for managing DT. Furthermore, the authors engaged in inductive theorizing to derive propositional statements using these findings.

The practitioners agreed on visionary thinking, agility, understanding the value of data, data-driven decision-making, knowledge of strategy and accepting change as the most important requirements for managing DT. Through inductive theorizing, the authors further derived that the seven discovered clusters fell into two broader competencies – behavioral and strategic – and that each behavioral competency would have varying importance depending on the country and industry that the organization operates in.

As is typical for Delphi studies that involve multiple survey rounds, the study participant response rate was moderate. The implications of this study, in finding that a variety of leadership competencies are needed to ensure successful DT, validate prior research that people, not technology, drive DT.

This study helps mitigate assumptions that successful DT processes are only possible by hiring technological experts, as doing so highlights the importance of behavioral leadership competencies.

The study is one of the first to interlink digital leadership with DT by inductively theorizing behavioral and strategic competencies. The authors also establish that contexts are vital in determining which aspects of leadership competencies are deemed most important in driving DT.

The purpose of this paper is to create a model that compares the effects of product content differentiation and service content differentiation on small- and medium-sized enterprises’ (SMEs) perceived importance of customer reference marketing in foreign markets.

A theoretical model is developed and tested through multiple regression and mediation analysis, on an effective sample of 188 Swedish SMEs.

The results show that foreign market business assignments characterized by differentiated services make companies relatively more dependent on relationship learning and customer reference marketing. By contrast, situations of differentiated product content correlate negatively with customer reference marketing.

Reference customers can function as vehicles for international expansion when marketing offerings are complex. The findings imply that in service settings, SMEs need to maintain learning regimes with foreign market customers to effectively use them as references to win new business.

The study applies a service perspective to explain the contingencies of customer reference marketing, particularly in international business settings. The study contributes to international small business literature and research focusing on service–firm internationalization by explaining the marketing mechanisms at play in the internationalization of SMEs. In so doing, the findings can enrich relationship and network perspectives of internationalization and add a missing link to studies on networking and internationalization.

This paper explores the implications of using Apple co-founder and former CEO Steve Jobs as a “paradigm case” of transformational leadership by comparing the practical metadiscourse of remembrances published at the time of his passing to the theoretical metadiscourse of transformational leadership. The authors report the frequency of transformational leadership characteristics that appeared in characterizations of Jobs in the months after his passing in October 2011. Results show that people do remember Jobs as a leader, and as one who possessed three key personal characteristics of a transformational leader: creative, passionate, and visionary. People also remembered Jobs as an innovator, which is not typically associated with transformational leadership but which does reflect the discourse of the consumer electronics industries upon which he had an impact. However, the results also show that two important interpersonal characteristics of a transformational leader were absent in the remembrance discourse: empowering and interactive. The authors discuss the implications of the two missing terms for pedagogy and theorizing, including how problematizing Jobs as a paradigm case might lead to fruitful discussions about the importance of a transformational leader’s engagement with followers.

This study focuses on leadership in organizations where big data analytics (BDA) is an essential component of corporate strategy. While leadership researchers have conducted promising studies in the field of digital transformation, the impact of BDA on leadership is still unexplored.

This study is based on semi-structured interviews with 33 organizational leaders and subject-matter experts from various industries. Using a grounded theory approach, a framework is provided for the emergent field of BDA in leadership research.

The authors present a conceptual model comprising foundational competencies and higher order roles that are data analytical skills, data self-efficacy, problem spotter, influencer, knowledge facilitator, visionary and team leader.

This study focuses on BDA competency research emerging as an intersection between leadership research and information systems research. The authors encourage a longitudinal study to validate the findings.

The authors provide a competency framework for organizational leaders. It serves as a guideline for leaders to best support the BDA initiatives of the organization. The competency framework can support recruiting, selection and leader promotion.

This study provides a novel BDA leadership competency framework with a unique combination of competencies and higher order roles.

The purpose of this paper is to analyze, from a dynamic capabilities perspective, the role of big data analytics in supporting firms' innovation processes.

Relevant literature is reviewed and critically assessed. An interpretive methodology is used to analyze empirical data from interviews of big data analytics experts at firms within digitally related sectors.

This study shows how firms leverage big data to gain “richer” and “deeper” data at the inter-sections between the digital and physical worlds. The authors provide evidence for the importance of counterintuitive strategies aimed at developing innovative products, services or solutions with characteristics that may initially diverge, even significantly, from established customer/user needs.

The authors’ findings offer insights to help practitioners manage innovation processes in the physical world while taking investments in big data analytics into account.

The authors provide insights into the evolution of scholarly research on innovation directed toward opportunities to create a competitive advantage by offering new products, services or solutions diverging, even significantly, from established customer demand.

Manufacturing firms delivering complex products and systems are increasingly offering advanced data-based services. Customers, however, are not always willing to adopt manufacturers’ advanced services, so manufacturers need knowledge of how to promote customers’ service readiness. The purpose of this paper is to further develop the concept of service readiness by proposing a framework for industrial customers’ organizational dimension of service readiness and by increasing the understanding of the conditions underpinning that service readiness.

This case study explores service readiness among customers of a manufacturer delivering complex systems and related services. Interviews were conducted within the company and among key customers as the potential users of those services.

Customers use versatile processes, engage multiple people and use different evaluation criteria when considering adoption of data-based services. The organizational component of service readiness involves requirements in the service context, supplier relations and organizational habits and culture. Actions are proposed for manufacturers to promote customers’ readiness for new services.

The research is limited through its qualitative design and case selection. Mapping of the organizational dimension of service readiness further develops the concept of service readiness and offers a framework for further research. This research offers novel understanding of organization-level service adoption to complement individual-centric technology adoption.

New knowledge is offered to manufacturing firms about customers’ challenges and requirements in adopting advanced services. This knowledge will help manufacturers to support customers and develop the activities of their own salespeople when introducing advanced services.

The findings expose the contents of the organizational dimension of customers’ service readiness. The study provides a more complete picture of service readiness and shows it to be a multilayered concept with interdependencies between its levels, between individuals in customer organizations and even between the manufacturer and the customer organization.

The purpose of this paper is to study the relationship between organizational adaptability, institutional leadership and business process reengineering performance using the tested complexity theory in a developing economy setting.

This study is correlation and cross-sectional and adopts institutional-level data collected via questionnaires from reengineered microfinance institutions in Uganda. Cluster analysis as data mining technique was used to classify cases based on respondents’ opinions into homogeneous clusters. Nvivo was used to understand the perceptions of business process reengineering performance based on qualitative data. The authors used structural equation modeling to derive the predictive model of business process reengineering performance in a developing world setting.

The authors find that organizational adaptability and institutional leadership are key predictors of business process reengineering performance. Results reveal a predictive model of 61 per cent based on structural equation modeling for the study variables. Cluster analysis as data mining approach explored complex patterns of reengineered business processes.

The use of cluster analysis is susceptible to problems associated with sampling error and absence of fit indices. However, the likelihood of these problems is reduced by the interaction with the data, practical implications and use of smart partial least square to generate structural equations based on derived measurement models of each study variable.

Policymakers of Bank of Uganda, Ministry of Finance and Economic Planning, should develop sound policies in relation to knowledge management, institutional leadership and adaptive mechanisms to enhance business process reengineering performance to take advantage of new knowledge opportunities for the improvement of their businesses.

Given the results from structural equations generated, managers need to consider institutional leadership and organizational adaptability as key drivers of business process reengineering performance in microfinance institutions. The results confirm the significant role of institutional leadership, organizational adaptability in determining business process reengineering performance outcomes.

Unlike most of the business process reengineering literature, this study contributes to literature by domesticating and testing complexity theory to explain business process reengineering performance in developing economies.