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The paper aims to measure the nature and extent of international diversification followed by Indian companies over the period 2009–10 to 2017–18. The study also aims to assess the pattern of transition of companies to various strategies of international diversification.

Jacquemin and Berry’s (1979) entropy approach has been applied to measure the extent and assess the nature of international diversification. Further, the study deploys two-dimensional categorical framework advocated by Vachani (1991) and categorizes the firms into four international diversification strategies.

Larger proportion of companies in internationally low diversification (ILD) strategy reveals low extent of international diversification of Indian companies. The pattern of diversification depicts that the trend of moving forward is speeding up sequentially toward higher strategies of growth. Both the extent and pattern depict that the nature of diversification is shifting from relatedness to un-relatedness with transitions from intra-regions to inter-regions. The study confirms the applicability of eclectic theory and psychic distance Uppsala model in determining the preference of international diversification strategies and process of internationalization respectively in Indian firms.

The paper is first of its kind on account of several reasons. First, such a comprehensive evaluation of preferences for international diversification strategies has never been taken up with reference to emerging economies, especially India. Second, the paper is not static and does not limit itself only to the identification of favored strategies of Indian companies but also gauges the transitional behavior of Indian companies across different strategies at different points of time. In fact it is the first study to statistically research the applicability of psychic distance model in firms in emerging economy. Third, the results not only measure the quantum of international diversification but also assess the extent of relatedness and un-relatedness followed by Indian companies.

The insidious proliferation of online misinformation represents a significant societal problem. With a wealth of research dedicated to the topic, it is still unclear what determines fake news sharing. This paper comparatively examines fake and accurate news sharing in a novel experimental setting that manipulates news about terrorism.

The authors follow an extended version of the uses-and-gratification framework for news sharing, complemented by variables commonly employed in fake news rebuttal studies.

Logistic regression and classification trees revealed worry about the topic, media literacy, information-seeking and conservatism as significant predictors of willingness to share news online. No significant association was found for general analytical thinking, journalism skepticism, conspiracy ideation, uses-and-gratification motives or pass-time coping strategies.

The current results broaden and expand the literature examining beliefs in and sharing of misinformation, highlighting the role of media literacy in protecting the public against the spread of fake news.

This is, to the authors’ knowledge, the first study to integrate a breadth of theoretically and empirically driven predictors of fake news sharing within a single experimental framework.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2022-0693

This study examines how project uncertainties (environmental uncertainty and participant uncertainty) affect guanxi and contractual governance and assesses the mediating role of guanxi governance between project uncertainty and contractual governance.

Data were collected in two stages from Chinese contractors. First, in-depth interviews were conducted with nine construction engineering project practitioners in different contracts as a pilot for questionnaire designing. Second, a cross-sectional questionnaire survey was conducted with professionals and practitioners of construction enterprises to collect primary data. Partial least squares structural equation modeling (PLS-SEM) was used to test seven hypotheses based on data collected from 198 respondents.

Project environmental uncertainty promotes the use of guanxi governance, while project participant uncertainty hinders it; the relationship between both types of uncertainty and contractual governance is the same as with guanxi governance. Furthermore, guanxi governance promotes contractual governance and partially mediates project environmental uncertainty and contractual governance and a complete mediating role between project participant uncertainty and contractual governance.

As the interviewed samples are mainly from China, the study should be replicated using large representative samples from East Asian countries, such as Japan and South Korea, to gain a more comprehensive understanding of the influence of guanxi governance. Further, while the internal consistency reliability and convergent validity of the questionnaire data in this study align with the standards, a larger sample size would improve the reliability and validity of the research results and better represent the overall work situation of contractors, owners and public policymakers.

The results provide insights into project governance research and have implications for construction practitioners in deploying governance-related resources.

While the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.

This study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.

In general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.

First, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.

This paper aims to explore the effect of teacher–student collaboration on academic innovation in universities in different stages of collaboration.

Based on collaboration life cycle, this paper divided teacher–student collaboration into initial, growth and mature stages to explore how teacher–student collaboration affects academic innovation.

Collecting data from National Science Foundation of China, the empirical analysis found that collaboration increases the publication of local (Chinese) papers at all stages. However, teacher–student collaboration did not significantly improve the publication of international (English) papers in the initial stage. In the growth stage, teacher–student collaboration has a U-shaped effect on publishing English papers, while its relationship is positive in the mature stage.

The results offer suggestions for teachers and students to choose suitable partners and also provide some implications for improving academic innovation.

This paper constructed a model in which the effect of teacher–student collaboration on academic innovation in universities was established.

The aim of this study is to systematise the entrepreneurial coaching (EC) literature by understanding how the phenomenon has been investigated along four dimensions inspired by Gartner’s (1985) conceptualisation of entrepreneurship: entrepreneurial process, context, target and outcomes. In so doing, this study will provide a frame of its multifunctional role and identify relevant gaps and suggestions for future research.

We conducted a systematic literature review to collect existing works on EC. We analysed 85 selected papers with a qualitative content analysis that allowed us to highlight relevant research themes for the entrepreneurial process, context, outcomes and target.

Our results demonstrate that EC has a multifunctional role in entrepreneurship that can be summarised in five different typologies, depending on the stage of the entrepreneurial process in which it is applied, the context, the target and the outcomes.

As one of the first attempts to systematise studies on EC, this work extends previous conceptualisation of EC by detailing different typologies of this intervention, thereby contributing to reduced fragmentation and conceptual ambiguity.

Grounded in the resource-based view of the firm, this study aims to examine the effects of goal orientation and the mindfulness of entrepreneurs on firm innovation capability and analyzes that capability’s subsequent impact on firm performance. The authors also analyze whether mindfulness interacts with goal orientation to intensify its effect on firm innovation capability.

Simple random sampling was used to obtain the sample of Thai firms listed in the Department of Business Development database (n = 304). The data analysis was done by using partial least square structural equation modeling.

Goal orientation and mindfulness are positively associated with firm innovation capability. The analysis also supports the interaction effect of goal orientation and mindfulness on firm innovation capability. Moreover, firm innovation capability is positively associated with firm performance.

Goal orientation and mindfulness should be considered two essential soft skills that entrepreneurs must develop to build up their firms’ innovation capability. Because entrepreneurs are the key drivers of economic growth and sustainable development, the government agencies responsible for the entrepreneurship development should consider goal orientation and mindfulness as parts of their entrepreneurship training program and development policy.

The finding about the interaction effect of goal orientation and mindfulness on firm innovation capability provides new evidence that was not documented in previous research. The authors clarify that these are entrepreneurial characteristics that could supplement each other to maximize the potential of entrepreneurs and strengthen the innovation capability of their firms.

Entrepreneurial support programs, like incubators and accelerators, often offer mentorship to new ventures. However, existing research on mentoring has mainly focused on the entrepreneur's perspective, leaving researchers with limited understanding of why experienced mentors provide support to new ventures. This study aimed to explore mentors' motives in mentor–venture relationships and their impact on the advisory process. It also examined different types of mentors (social and commercial) and their motivations for assisting and supporting new ventures.

The present study utilizes a qualitative research approach to investigate the motivations and mechanisms through which new venture mentors assist founders in their growth and success. In-depth interviews were conducted with 18 mentors supporting both social and commercial ventures. These mentors were selected from ten accelerator and incubator programs situated in Belgium. The interviews aimed to gain insights into the mentors' motivations and their experiences in the role of mentors.

Based on the social exchange theory and the norm of reciprocity, this study identified two main motives of mentors: “gaining back” reflecting mentors’ self-interest in deriving benefits from the relationship and “paying back” representing their altruistic reasons for supporting new ventures. Additionally, the study identified mentor functions that primarily involved providing career-related support to new ventures. Moreover, the research revealed intriguing similarities and differences in the motivations and mentoring functions between mentors of social and commercial ventures.

Future research should explore the evaluation process and criteria used by mentors and new ventures when selecting each other for a productive mentoring relationship. Additionally, further investigation is needed to examine the firm-level impact of various mentoring services on the performance of social and commercial new ventures at different stages of development. Comparing mentor motives and functions across diverse geographical settings would address the limitation of the study and provide a more comprehensive understanding of the topic.

The findings of the study can inform policymakers, accelerator and incubator program managers and new ventures seeking mentors and support initiatives. They can use the insights to design effective mentoring programs that align with the specific needs and motivations of mentors and new ventures. Understanding the different motives and functions of mentors can help in the selection of appropriate mentors who can provide the necessary support and expertise to new ventures.

The study highlights the importance of mentorship in the development of entrepreneurial ecosystems. Accelerator and incubator programs play a crucial role in connecting new ventures with mentors who have the right motivation and expertise, contributing to the growth and success of new ventures and the overall entrepreneurial ecosystem. By identifying both altruistic and self-interest motivations in mentoring relationships, the study emphasizes the dual dimensions that characterize the mentor–venture relationship. This understanding can foster stronger collaborations and reciprocal exchanges between mentors and new ventures, ultimately benefiting both parties.

This research contributes to the entrepreneurship literature by exploring the mentor–new venture relationship from mentors' perspective. It expands the existing research on mentor–protégé relationships, broadening the understanding of mentoring dynamics in different organizational settings. The findings offer insights grounded in social exchange theory and provide directions for future research on mentor–venture relationships, resource exchange and relationship development. The study also holds practical implications for policymakers and program managers involved in fostering mentoring initiatives for new ventures.

The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.

Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and other physiological aspects on emotional response is used for empirical assessment of the proposed overlapping sliding window (OSW) modelling framework. Two features are extracted using Fourier and Wavelet transforms: normalised band power (NBP) and normalised wavelet energy (NWE), respectively. The arousal, valence and dominance (AVD) emotions are predicted using one-dimension (1D) and two-dimensional (2D) convolution neural network (CNN) for both single and combined features.

The two-dimensional convolution neural network (2D CNN) outcomes on EEG signals of AMIGOS data set are observed to yield the highest accuracy, that is 96.63%, 95.87% and 96.30% for AVD, respectively, which is evidenced to be at least 6% higher as compared to the other available competitive approaches.

The present work is focussed on the less explored, complex AMIGOS (2018) data set which is imbalanced and of variable length. EEG emotion recognition-based work is widely available on simpler data sets. The following are the challenges of the AMIGOS data set addressed in the present work: handling of tensor form data; proposing an efficient method for generating sufficient equal-length samples corresponding to imbalanced and variable-length data.; selecting a suitable machine learning/deep learning model; improving the accuracy of the applied model.

The purpose of this study was a longitudinal study on knowledge organization (KO) realm structure and cluster concepts and emerging KO events based on co-occurrence analysis.

This longitudinal study uses the co-occurrence analysis. This research population includes keywords of articles indexed in the Web of Science Core Collection 1975–1999 and 2000–2018. Hierarchical clustering, multidimensional scaling and co-occurrence analysis were used to conduct the present research. SPSS, UCINET, VOSviewer and NetDraw were used to analyze and visualize data.

The “Information Technology” in 1975–1999 and the “Information Literacy” in 2000–2018, with the highest frequency, were identified as the most widely used keywords of KO in the world. In the first period, the cluster “Knowledge Management” had the highest centrality, the cluster “Strategic Planning” had the highest density in 2000–2018 and the cluster “Information Retrieval” had the highest centrality and density. The two-dimensional map of KO’s thematic and clustering of KO topics by cluster analysis method indicates that in the periods examined in this study, thematic clusters had much overlap in terms of concept and content.

The present article uses a longitudinal study to examine the KO’s publications in the past half-century. This paper also uses hierarchical clustering and multidimensional scaling methods. Studying the concepts and thematic trends in KO can impact organizing information as the core of libraries, museums and archives. Also, it can scheme information organizing and promote knowledge management. Because the results obtained from this article can help KO policymakers determine and design the roadmap, research planning, and micro and macro budgeting processes.