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The purpose of this study is to consolidate the existing literature on small retail and develop a conceptual framework using thematic analysis.

The relevant set of 224 articles has been obtained from the Scopus database by applying the PRISMA framework. Bibliometric analysis has been performed using Biblioshiny in Bibliometrix and VOSviewer.

Four major themes have been identified within the conceptual structure of the small retail domain, and a conceptual framework has been developed using the interlinkages within the themes. The intellectual structure of the domain has been explored using citation analysis, co-citation analysis and bibliographic coupling. Future research directions are also identified and documented based on the thematic analysis and overall consolidation of the literature.

This is perhaps one of the first attempts to consolidate the published literature on small retail using bibliometric analysis.

This study aims to meticulously evaluate the public service value-generation process facilitated by collaborative e-governance services within the framework of the National e-governance Plan (NeGP).

The study formulates a comprehensive research model through a combination of literature review, insights from domain experts and hands-on experience gained from the e-governance project. A conceptual research model was meticulously structured, validated, and interpreted by using a reflective measurement theory. The analytical tool SmartPLS3 was used to assess the proposed model rigorously.

The analysis of collected data reveals a statistically significant positive correlation between the implementation of collaborative e-governance strategies and the creation of public service value. This relationship is further reinforced by a strong alignment between the perceived aspects of collaborative e-governance, such as responsiveness, transparency and service delivery and their substantial contribution to the enhancement of public service value.

This study contributes to the scholarly discourse by introducing an innovative methodology for assessing public service value through analyzing empirical data from citizen-centric collaborative e-governance projects. It is noteworthy that no prior studies have examined the nuanced concept of public service value in the context of collaborative e-governance.

This review addresses how student organizations are conceptually framed in the scholarly literature—organizations the authors referred to as “ethnicized student organizations” or “ESOs,” which include both Black Indigenous and People of Color (BIPOC) student organizations and ethnically white student organizations such as mainstream fraternities/sororities and clubs that are normalized as not having a racial/ethnic affiliation.

Critical race theory informs the analysis of 175 articles that address ESOs from 2002 to 2016.

Analysis revealed that a majority of scholarship conceptualizes ESOs in ways that can minimize the role of institutional whiteness where they are positioned as either serving or hindering both individual students and institutional goals. Findings also reveal a smaller body of literature that emphasized institutionalized power dynamics and honors the transformative work of BIPOC students through ESOs.

Despite widespread public commitments to diversity among institutions, whiteness remains a core institutional presence. This study illustrates the relationships among student organizations, white supremacy and higher education transformation.

The purpose of this paper is to create a model that connects drivers between organizational innovation and business model innovation (BMI) to guide empirical research and the design of innovation management strategies.

The model was designed based on the results of a systematic literature review over the past 25 years that provides common predictor variables to build bridges between these two types of innovations.

It is a conceptual relationship between organizational innovation and BMI based on processes, new structures and customer relationship management. Moreover, there are five bridges from common predictors: strategy, top management, exploratory learning, technological innovation and environmental complexity.

The relationships between organizational innovation and BMI have been neglected in the literature. The model fills this gap by proposing hypotheses for empirical research and critical variables and relationships to steer organizational and business model innovation.

This paper is part of the Special Issue series Improving Life on Planet Earth – A Call to Action for Service Research to Achieve the Sustainable Development Goals (SDG). This paper aims to provide the groundwork for Service Research Theme 2 – services that provide OPPORTUNITY for all humans. Service Research Theme 2 comprises SDG4, quality education; SDG5, gender equality; and SDG10, reduced inequalities and seeks to mobilize ServCollab’s aspirations to reduce human suffering, improve human well-being and enable well-becoming.

A scoping review appraising existing service research related to SDG4, SDG5 and SDG10 was conducted, establishing interlinkages, identifying patterns within each SDG and then assembling a research agenda for service researchers.

The scoping review identifies 18 patterns in service research (six patterns per SDG) pertaining to Service Research Theme 2. Common patterns among the SDG4, SDG5 and SDG10 included underrepresentation, consumer-centricity, the absence of explicit SDG linkages, the predominance of one theoretical anchor and the preference for quantitative studies, particularly surveys. Overall, the scoping review found that service research related to Service Research Theme 2 is patchy in that it is overdeveloped in some topics, methodologies and methods yet underdeveloped or silent in others.

The high-level research problem of Service Research Theme 2 is as follows: How have services provided OPPORTUNITY for all humans? This paper analyzes patterns in service research and, from these patterns, assembles a research agenda that sparks and guides further research.

The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM).

The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI.

The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM.

In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison.

The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a comprehensive review of how stock market volatility is influenced by macro and firm-level factors. Therefore, this study aims to fill this gap by systematically reviewing the major factors impacting stock market volatility.

This study uses a combination of bibliometric and systematic literature review techniques. A data set of 54 articles published in quality journals from the Australian Business Deans Council (ABDC) list is gathered from the Scopus database. This data set is used to determine the leading contributors and contributions. The content analysis of these articles sheds light on the factors influencing market volatility and the potential research directions in this subject area.

The findings show that researchers in this sector are becoming more interested in studying the association of stock markets with “cryptocurrencies” and “bitcoin” during “COVID-19.” The outcomes of this study indicate that most studies found oil prices, policy uncertainty and investor sentiments have a significant impact on market volatility. However, there were mixed results on the impact of institutional flows and algorithmic trading on stock volatility, and a consensus cannot be established. This study also identifies the gaps and paves the way for future research in this subject area.

This paper fills the gap in the existing literature by comprehensively reviewing the articles on major factors impacting stock market volatility highlighting the theoretical relationship and empirical results.

Digital Service innovation (DSI) plays a fundamental role in the successful transition from product manufacturer or traditional service provider to a provider of digitally-enabled service solutions. Multiple impediments make managing this transformation using digital technologies difficult for firms, their customers and wider ecosystems. Extant knowledge of these digital technology impediments requires synthesizing and mapping.

A systematic literature review (SLR) was conducted. DSI tools and terminology are synthesized via thematic analysis. Subsequently, impediments to DSI for servitization (covering barriers, challenges and tensions) faced by actors across three key innovation phases: strategic planning, design planning and implementation, and four interaction levels (Micro, Meso, Macro-environment, Macro-ecosystem) are mapped via template analysis.

Six impediment categories (external environmental factors, internal firm factors, capabilities, business models and processes, value creation and interaction) encompassing 28 unique impediment types to DSI during servitization are identified. A framework enabling impediment comparison across innovation phases and ecosystem/network interaction levels, revealing that the majority of barriers can be framed as “challenges” was developed.

Whilst literature is emerging relating to digital servitization, there is a lack of research on the role DSI plays in facilitating digital servitization and no comprehensive study of DSI impediments exists. Additionally, consensus around the cross-disciplinary terminologies used is lacking. This study is a structured attempt to map the domain, summarizing the terms, identifying and clarifying impediment categories and providing recommendations for researchers and managers in tackling the latter.

This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).

A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.

Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.

This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.

Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a physicians' online return. This study, therefore, investigates physicians' online economic and social capital return in relation to physicians' use of social media and consumer engagement.

Using ordinary least squares (OLS) regression with fixed effects (FE) and panel data collected from Sina Weibo and Sina Health, this study analyzes the impact of physicians' social media use and consumer engagement on physicians' online return and the moderation effect of professional seniority.

The results reveal that physicians' use of social media and consumer sharing behavior positively affect physicians' online economic return. In contrast, consumer engagement positively impacts physicians' online social capital return. While professional seniority enhances the effect of physicians' social media use on online economic return, professional seniority only enhances the relationship between consumers' sharing behavior to the posts and physicians' online social capital return when professional seniority comes to consumer engagement.

This study reveals the different roles of social media use and consumer engagement in physicians' online return. The results also extend and examine the social media affordances theory in online healthcare communities and social media platforms.