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Social media has been gaining importance in recent years as an integral part of entrepreneurs’ business and marketing strategies. At the same time, the entrepreneurial use of social media can lead to dark and negative consequences. This aspect has received less attention in the literature so far. The purpose of this study is to advice entrepreneurial practitioners to balance the sides of pros and cons as being an inherent reality to acknowledge the full scenario of business life and the interplay of diverse influences.

The qualitative interviews focused on the dark side experiences of micro-entrepreneurs on social media and on strategies to protect their private identities and businesses from those dark side effects. For the theoretical classification of dark side experiences, the framework of Baccarella et al. (2018) was used and adapted based on the experiences reported.

To the best of the authors’ knowledge, the study is one of the first to provide an understanding of the negative experiences micro-entrepreneurs face on social media. The research showed the relevance of five out of the seven dark-side building blocks and identified time as a further influential aspect. Thereby, the authors learn to comprehend the negative sides of social media for micro-operated businesses. The findings highlight the need to understand entrepreneurial social media use with simultaneously negative hazards and economic and social challenges. Addressing the entanglement of the entrepreneurial and private selves of micro-entrepreneurs, the findings demonstrate entrepreneur’s attempts of distancing or cleaning the negativity from their private identities and their businesses.

This paper problematizes dark sides as critical elements in entrepreneurial practice, which are too often neglected when discussing entrepreneurial marketing in general and entrepreneurship in social media specifically. The self is always captured between two sides, including the problematic (“dark”) and the bright.

The role of logistics service provider (LSP) is essential for efficient logistics service quality (LSQ) and supply chain management, especially in multimodal transport. Multimodal transport routes that use the Trans-Siberian Railway (TSR) play an important role in the supply chains of Northeast Asia. This paper aims to identify current conditions of TSR LSQ and propose improvements to enhance the competitiveness of traditional routes. Therefore, this study sheds light on and provides recommendations for various managerial strategies to LSPs in the context of the TSR. This study utilizes Importance-Performance Analysis (IPA) to measure levels of importance and performance of the logistics service of LSPs that provide multimodal transport services via the TSR from South Korea to Europe. This study identifies capabilities on the basis of five criteria (price, timeliness, reliability, equipment systems, and customer service) from a customers’ perspective. The results of the research indicate that operational improvements should be considered to activate TSR multimodal transport for northern logistics routes from the perspective of Korean shippers. Specific findings show that balanced development strategies are needed for logistics routes that have not yet been significantly activated, while implying that logistics costs could be reduced initially to satisfy shippers. This study presents an operational strategy for LSPs using the TSR in northern logistics through IPA methods. Furthermore, this research can help policymakers propose specific policies to revitalize the northern logistics of Korean logistics companies and to provide incentive supports for shippers.

This paper aims to provide a multidisciplinary framework that allows an integrated understanding of reasons of success or failure in equity crowdfunding (ECF), a Fintech digital innovation of the traditional entrepreneurial finance, defining a future research agenda.

A systematic literature review (SLR) has been conducted on 127 documents extracted from two multidisciplinary repositories (Elsevier’s Scopus and Clarivate Analytics Web of Science) for the period between 2015 and early 2022. After a systematized series of inclusion and exclusion criteria, in line with the objectives and conceptual boundaries, a final list of 32 peer-reviewed articles written in English was analyzed by the authors through a meta-synthesis and thematic analysis to identify the key themes and dominant concepts.

Results show that the body of literature is recent and fast growing. The proposed integrative framework of existing research indicates that the outcome of an ECF campaign is related to signals conveyed by entrepreneurs in the form of hard information (firm characteristics, financial information, business characteristics and project description) and soft information (intellectual capital, human capital, social capital and social media network), catalyzed by digital media that facilitate also personal interactions between entrepreneurs and investors. Similarly, external factors (investors and campaign characteristics, with the fundamental role of ECF platform managers in building trust between entrepreneurs and investors) allow for the alleviation of information asymmetries. The present study sheds light on which signal mechanisms are decisive in improving the outcome, taking into consideration various disciplines which follow different but complementary perspectives.

Entrepreneurs should adapt to the transition toward the digital era, exploiting alternative financial instruments and learning effective signaling strategies, within a large variety of skills requested. Platform managers can obtain more focused information on selected entrepreneurial projects more efficiently.

Although it is fast-growing, the field of research is very recent, still fragmented and limited to the perspective/discipline followed. This SLR is, to the best of the authors’ knowledge, the first multidisciplinary and integrative analysis of reasons that motivates success, or failure, of an equity-based crowdfunding campaign. The digital nature of ECF encourages future research to move toward more pioneering and unconventional theories and research methods. Hence, the authors add to the existing literature by proposing future patterns of research based on an integration of highly technological skills and behavioral/psychological approaches.

This paper examines the evolution of the core academic leader development course at the United States Air Force Academy. The course serves as a key part of student leadership development integrated into all four years of a student’s education and their roles within the organization. The curriculum focuses on skills, character, and critical thinking in leadership contexts. The desired effect is to engage students where they are in their development and to train them in the practice of effective, professional team leadership within their teams and the larger organization. Assessment strategies such as reflection, journaling, self-assessment, and practiced application of course material are designed to fit into students’ leadership experiences so students apply what they learn in an immediate, relevant context.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

The purpose of this paper is to assess whether China’s public sector can continue to generate advanced genetically modified (GM) technologies that will be competitive in the market.

The authors investigated all the research teams that have been conducting research projects under the variety development special program. The data collected include detail information on research capacity, research areas, performance, and process of their research projects. Based on the survey data, the authors assessed the innovations and progress of the variety development special program.

Unlike other countries, most GM products in China are developed by public research institutes. There is rising concern on the ability of China’s public sector to continuously generate indigenous GM technology that can compete with multinational companies. The study surveyed 197 research institutes and 487 research teams and found that the GM program in China lacks coordination: researchers do not want to share their research materials with others. Due to the lack of coordination, most of the hundreds of research teams often worked independently in the year 2008-2010. Moreover, the authors found the lack of coordination may be due to the reason that the interests of researchers are not well protected. This paper also provided the recent progress and policy changes of GM program in China, and it found that the efficiency in the later three years improved a lot. In order to establish a competitive national public GM research system, China should continuously consolidate and integrate the upstream, midstream, and downstream activities of the whole GM innovation process. China’s public sector may also need to work more closely with both the domestic and international private sectors.

This paper is a comprehensive analysis on the development of transgenic technology in China. The results of this paper can provide evidence for the dynamic adjustment of the policies in the variety development special program and can also provide reference for the future assessment of the variety development special program.

This study aims to examine the role of an overall model fit assessment in the context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is important to assess the overall model fit and provides ways of assessing the fit of composite models. Moreover, it will resolve major concerns about model fit assessment that have been raised in the literature on PLS-PM.

This paper explains when and how to assess the fit of PLS path models. Furthermore, it discusses the concerns raised in the PLS-PM literature about the overall model fit assessment and provides concise guidelines on assessing the overall fit of composite models.

This study explains that the model fit assessment is as important for composite models as it is for common factor models. To assess the overall fit of composite models, researchers can use a statistical test and several fit indices known through structural equation modeling (SEM) with latent variables.

Researchers who use PLS-PM to assess composite models that aim to understand the mechanism of an underlying population and draw statistical inferences should take the concept of the overall model fit seriously.

To facilitate the overall fit assessment of composite models, this study presents a two-step procedure adopted from the literature on SEM with latent variables.

This paper clarifies that the necessity to assess model fit is not a question of which estimator will be used (PLS-PM, maximum likelihood, etc). but of the purpose of statistical modeling. Whereas, the model fit assessment is paramount in explanatory modeling, it is not imperative in predictive modeling.

Unlike quantitative studies, interview data generally cannot be validated; yet, they are typically the only evidence of the research. This study develops protocols for using verbatim interview quotations in research and for assessing the quality of interview quotations.

This research reviews 20 empirical papers using in-depth interviews containing 600 interview quotations to examine authors' approaches to verbatim interviewee quotations. The research analyses the sample papers for interview transcript handling, selection of quotations, the number and length of interview quotations, how they are placed and presented, the proportion of interviewee voices reproduced in quotations and the disclosure of protocols for translating and editing quotations. This paper includes illustrative interview quotations as exemplars of best practice.

Given the modest discussion of the principles influencing the reproduction of quotations in research, this study develops a framework for evaluating prior research. Researchers use a wide variety of practices to reproduce interview quotations in accounting research. The issues derived from this review, and their application to interview-based papers, frame an argument for a general set of quality criteria and protocols rather than rigid rules for assessing qualitative work. These criteria can serve as anchor points for qualitative evaluation.

There is little guidance on the use of interview quotations in qualitative research which this study bridges.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

Transformative learning and leadership are key leverage points for supporting society’s transition towards sustainability. The purpose of this study was to identify the outcomes of transformational learning within an international sustainability leadership master’s program in Sweden. The study also prototypes a typology for transformative learning (TTL) in the context of sustainability leadership education.

Alumni spanning 15 cohorts provided answers to a survey, and the responses were used to identify the outcomes of the program. Graduates were asked to describe what transformed for them through the program. Empirical data was coded prototyping the use of the TTL in sustainability education context.

Graduates of the Master’s in Strategic Leadership towards Sustainability program, described transformation with regards to their Self-in-relation to Others and the World, their Self-knowledge, sense of Empowerment/Responsibility; their Worldview became More Comprehensive or Complex, and they gained New Awareness/New Understandings which transformed their Worldview. Many described transformations in their general Ways of Being in the world. Findings suggest the TTL learning as a good basis for analysis in the education for sustainable development (ESD) context. Suggestions for the TTL include further development of the process that articulates the relational, interdependent and perhaps a priori relationships between elements that transform.

This study presents the outcomes of transformational learning within an international sustainability leadership master’s program. It prototypes the use of a TTL within the ESD context using empirical data. This combination provides practical insights to a dynamic, often theoretical and hard to articulate process.

This study presents the outcomes of transformational learning within an international sustainability leadership master’s program. It prototypes the use of a TTL in the ESD context and assesses the outcomes of a sustainability leadership program using empirical data. This combination provides practical insights to a dynamic, often theoretical and hard to articulate process.