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This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.

Despite a large volume of theoretical and empirical research, defining the ‘entrepreneur’ and ‘entrepreneurship’ within the cultural and creative sector, a sector with high heterogeneity in organisational and other aspects across its various segments remains challenging. In this regard, there should be a wide variety of differences in the characteristics and challenges of cultural entrepreneurs across industries, countries and regions. Nonetheless, the key role of the arts and cultural sector has increasingly piqued the interest of policymakers and the private sector, and it has been recognised for its importance within the South African economic landscape; as a result, the government has prioritised arts and culture as a pillar in their development strategies. Furthermore, while there has been some consensus over the past decade on what constitutes a creative industry, many questions about defining arts and cultural entrepreneurship still need to be answered, necessitating further definitional and policy coherence. As a result, some efforts at definitions are required to advance the sector and develop useful knowledge in policy formulation.

This chapter proposes an understanding of arts and cultural entrepreneurship as an exploration of a person, a community or a network's artistic resources (arts, creative and cultural) in value creation. It utilises meta-analysis, a non-empirical method, to review and analyse the existing literature. Further research is needed to investigate and evaluate the efficacy of established arts incubators, and the extent to which perceived entrepreneurial competencies affect organisational performance. Moreover, additional research is required to examine the entrepreneurial factors inhibiting or stimulating the influence on start-up financing (capital acquisition) in the South African arts and cultural industry.

Research on women-owned businesses is more extensive in developed countries than in developing countries. This prompted the authors to investigate the factors that affect women entrepreneurs' motives to start a business and the challenges they faced in running their businesses in India.

Data for the analysis were collected from 620 respondents using a structured questionnaire and in-depth interviews with 20 women entrepreneurs. The data were then analyzed using descriptive and factor analysis in the statistical software “SPSS” (Statistical Package for the Social Sciences).

The findings showed that the primary motivation for women to launch their own business was to achieve self-employment. Other motivations include increasing income and allowing women to follow their passion. Factor analysis indicates that women entrepreneurs are more motivated by push than pull factors. The research also shows that women encounter challenges in their entrepreneurial journey, such as access to financing, issues with gender equality and social and cultural obligations.

The study on women entrepreneurs in the Indian context is limited. This study responds to a need of better understanding of women motivations and challenges. By studying these constructs, the study shows that start-up motives and challenges faced by female entrepreneurs are unique to different contexts.

Future is rarely explicitly addressed or problematized in business network research. This study aims to examine the possibilities of developing a business actor’s future orientation to network studies and imports ideas and concepts from futures research to support the development.

The study is conceptual and interdisciplinary. The authors critically analyze how extant studies grounded in the sensemaking view and process research approach integrate future time and how theoretical myopia hinders the adoption of a future orientation.

The prevailing future perspective is restricted to managers’ perceptions and actions at present, ignoring the anticipation and exploration of alternative longer-term futures. Future time is generally conceived as embedded in managers’ cognitive processes or is seen as part of the ongoing interaction, where the time horizon to the future is not noticed or is at best short.

To enable a forward-looking perspective, researchers should move the focus from expectation building in business interaction to purposeful preparation of alternative future(s) and from the view of seeing future as enacted in the present to envisioning of both near-term and more distant futures.

This study addresses the growing need of business actors to anticipate future developments in the rapidly changing market conditions and to innovate and change business practices to save the planet for future generations.

This study elaborates on actors’ future orientation to business markets and networks, proposes the integration of network research concepts with concepts from futures studies and poses new types of research questions for future research.

The purpose of this paper is to explore how the entrepreneurs' social connections and types of employment differentially affect the survival of startup firms in the USA and India. Further, the authors analyze the differences during both the early stage and the later stages of new ventures.

The authors use data from the Global Entrepreneurship Monitor (GEM) database between 2012 and 2014 and examine the hypothesized effects with logistic regression analyses.

The analysis reveals that an entrepreneur's social connections with other entrepreneurs favor the survival of the focal entrepreneur's early-stage business in the USA. However, social connections are more critical for later-stage ventures in India. During the early stage, new ventures of full-time entrepreneurs are more likely to survive in India, whereas those by hybrid entrepreneurs are more likely to survive in the USA. The differences between the importance of full-time and hybrid entrepreneurs across geographies are less discernible during the later stages of new ventures.

The novelty of this paper is that it demonstrates the significant differences in the way social connections and types of employment (hybrid versus full-time) affect the survival of entrepreneurial firms in the early and later stages. The study also expands the international business literature by shedding new light on country-level differences that affect the survival of new ventures.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

COVID-19 pandemic has exposed that even the best of the developed nations have surrendered to the devastations imposed on the global supply chains. The purpose of this study is to explore how COVID-19 has exaggerated the supply chain of production and distribution of Taiwan-based face masks and also investigate the conscientious factors and subfactors for it.

In this study, an analytical hierarchy processes (AHP)-based approach has been used to assign the criterion weights and to prioritize the responsible factors. Initially, based on 26 decision-makers, successful factors were categorized into five main categories, and then main categories and their subcategories factors were prioritized through individual and group decision-maker’s contexts by using the AHP approach.

The results of this AHP model suggest that “Safety” is the most important and top-ranked factor, followed by production, price, work environment and distribution. The key informers in this study are stakeholders which consist of managers, volunteers, associations and non-governmental organizations. The results showed that good behavior of the employees under the “Safety” category is the top positioned responsible factor for successful production and distribution of face masks to the other countries with the highest global percentage of 15.7% and using sanitizers to protect health is the second most successful factor with the global percentage of 11.7%.

The limitations faced in this study were limited to only Taiwan-based mask manufacturing companies, and it was dependent on the decisions of the limited company’s decision-makers.

The novelty of this study is that the empirical analysis of this study has been based on a successful Taiwan masks manufacturing company and evaluates the responsible factors for the production and distribution of Taiwan masks to other countries during COVID-19.

Using panel data for the Regional Comprehensive Economic Partnership (RCEP) member states, the present study explored the role of RCEP negotiations on tourism development.

A dynamic econometric model, namely the panel autoregressive dynamic lag model (PARDL) has been used. To test for panel causality, Dumitrescu–Hurlin panel causality tests were used.

Through the use of a dynamic econometric model, namely the PARDL, the results show that the RCEP negotiations, growth rates, as well as international trade contribute towards tourism development. Furthermore, the Dumitrescu–Hurlin panel causality tests confirm the existence of a bidirectional causal link between tourism development and RCEP negotiations. Finally, a unidirectional causal link is observed between tourism development and international trade.

This existing evidence on the topic seems to be very scant and limited to specific regions and particular regional trade agreements. This paper thus fills an important gap in the literature by advancing evidence about the effects of the RCEP on international tourism flows across member countries.

Telemedicine, similarly to social media, accelerates information exchange, enriches information, provides better access to information and, furthermore, has an impact on mobilizing resources in business-to-business relationships. This paper aims to contribute to the understanding of the changes brought about by telemedicine, as a new technology, in patient routes.

This case study method was applied to examine five health-care protocols through their patient routes (series of activities) with and without telemedicine technology. The ARA model was applied to examine the changes telemedicine engendered in relation to activities, resources and actors. The strategy of visual mapping was applied for the comparative analysis.

The analyzed cases show that the new resources applied through telemedicine technology modified the number and substance of relevant activities and the set and role of actors who were involved. The quantity or the availability of output information increased in patient routes when new resources were added by telemedicine technology. When technology change occurred, any change in data or information systems – the two building blocks of information – could result in new or modified activities. If data that is used or produced while undertaking an activity change simultaneously along with the information system used for encrypting this data, then this “joint change” will certainly entail some kind of change in the set of activities, resources or actors that are involved. If not, then the activities continued the same as with the face-to-face protocol (without the new technology).

The novelty of the paper is that the results highlight the role of information in the extent of change in interactions induced by new technology. Findings about such changes show how information influenced by activities, resources and actors can help decision-makers in relation to the use of telemedicine.

This study seeks to develop a clearer understanding of the motivational factors affecting Saudi female business undergraduates' choice of pursuing entrepreneurship.

The research adopts a quantitative approach to gain general understanding of the students' perceptions with regard to their motivations to pursue entrepreneurship. Data were collected through a structured questionnaire survey administered to 214 female business undergraduates at Prince Mohammad Bin Fahd University (PMU) in Al-Khobar, to investigate their perceptions of entrepreneurial motivations. Descriptive statistics and factor analysis were used to identify the motivational factors. Multiple regression analysis was used to reveal relationships between the motivation factors and entrepreneurial motivation of female business undergraduates.

The study revealed four generalised entrepreneurial motivations among Saudi female business undergraduates: personal motivational factors with an emphasis on freedom and social status; business motivational factors such as financial rewards and security; social motivational factors manifested in the influence of the community, roles and family; and environmental motivations which were mainly associated to education, the market knowledge and ability to access finance.

The study was restricted to female students at PMU University. Thus, generalisation of the results could be limited. The findings of the study could be useful to relevant authorities to enhance and boost entrepreneurship for female students and hence to contribute to the national Vision 2030.

This study is among those few studies located in the MENA region that explore Saudi female university students' attitude towards entrepreneurship. It adds to the authors' understanding on the four generalised factors by highlighting the importance of the family's role and entrepreneurship education in motivating Saudi female students towards entrepreneurship engagement. It also contributes to the understanding of these motivations that could be applied in other similar contexts.