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This study develops a comprehensive taxonomy of the business analytics (BA) discipline, uncovering its intellectual core and revealing its evolution over the past 12 years.

Using stakeholder-driven identity formation theory, this study explores how organizational identity emerges through stakeholder negotiations. It investigates how top scholarly journals shape the BA discipline’s image and influence perceptions. High-quality articles from top journals listed by the Australian Business Deans Council are analyzed using latent Dirichlet allocation (LDA), a natural language processing and topic modeling method.

The study outlines key research areas identified as analytics methods, marketing, finance, operations and decision support analytics, along with 12 subareas. An analysis of the top 100 topics reveals prevalent research themes, showcasing the breadth of BA. A 12-year time-series review shows initial growth followed by maturation across most areas, except for decision support analytics, which maintained steady growth. These findings provide empirical evidence of BA’s development as a distinct discipline, highlighting its interdisciplinary nature and evolving research focus.

This study presents the first comprehensive, data-driven taxonomy of BA research, distilling the intellectual core into five key areas and 12 subareas, while identifying 100 supporting themes. It extends the stakeholders’ approach to identity development theory in the context of BA, providing empirical support for discussions on the field’s identity and diversity. The findings offer valuable insights for scholars, industries, managers and professionals, guiding curriculum development, research directions and practical applications of BA.

This research aims to study the impact that the interaction between internal R&D and R&D cooperation has on the technical efficiency of firms, as well as to analyse whether firms belonging to a group achieve any additional level of technical efficiency.

We employ the stochastic frontier version of a knowledge production function, particularly the inefficiency model, and we combine the stochastic frontier analysis (SFA) and the complementarity approach.

The interaction between internal R&D and R&D cooperation has a positive and significant impact on technical efficiency when the complementarity test is applied between companies belonging to a group, and there is no interaction when they do not belong to a group.

Knowing this type of information in advance is critical for managers and policymakers, as it allows them to avoid undesirable combinations of innovation strategies or contexts not favourable for their implementation, as well as the formulation of policies leading to an efficient allocation of public resources.

To the best of the authors’ knowledge, this paper contributes an original approach in evaluating the complementarity of internal R&D and R&D cooperation from the perspective of technical efficiency and group membership, combining the SFA and the complementarity approach.

本研究擬探討內部研發與研發合作之間的相互作用會如何影響公司的技術效率;研究亦擬分析屬於集團的公司會否達致更高一級的技術效率。

研究人員採用一個知識生產函數的隨機前沿方法,尤其是低效模型,研究人員並且把隨機前沿分析和互補法結合起來進行探討。

研究結果顯示,若互補法在屬於集團的公司之間應用,內部研發與研發合作之間的相互作用會對技術效率產生積極和重大的影響;但是,如果公司不屬於任何集團的話,則沒有任何相互作用。

預先了解這方面的資料和信息對管理人員和政策制定者至關重要,這是因為這可讓他們避開不良的創新策略組合,以及那些不利於推行創新策略的環境;而且,能否制定可為公共資源高效分配的政策,也有賴於了解這方面的信息和資料。

據我們所知,本研究從技術效率和組成員身份的角度去評定內部研發與研發合作的互補性,在這方面提供了新穎的研究方法;而且,本研究結合了隨機前沿分析和互補法,這也是創新的做法。

Technological innovation is crucial for businesses to achieve development and profitability through enhancing core capabilities and differentiating competitive advantages. The key to organisational survival is boosting innovation performance focused on technological innovation, as SMEs lack resources and competencies compared to large companies. Entrepreneurship is a topic of active research to overcome SMEs’ resource and size limits. This is because entrepreneurs’ capabilities are considered more important in small and medium-sized enterprises closely related to corporate success than in large enterprises that can receive organisational support. In addition, a company’s holding capacity is a direct driver of creating differentiated competitiveness because it can pursue product differentiation through high levels of market capabilities and technology capabilities. Therefore, this study attempts to demonstrate entrepreneurship and technological innovation for SMEs. Reviewing previous studies, the authors derive the organisational capabilities needed by the organisation for innovation and examine how these organisational capabilities (technological, market, and operational capabilities) relate to entrepreneurship and technological innovation.

This study examines network coopetition strategies to promote the spatial distribution of tourists and their importance for Destination Management Organisations (DMOs). Geotagged photos from the municipality of Porto, Portugal (n = 152,312) uploaded to the Flickr social network between 2010 and 2022 were utilised, and thematic maps were produced using geographic information systems (GISs). Residents and visitors were identified and separated, employing a heuristic approach with a five-day threshold between the first and last photo of each user. The findings indicate an uneven distribution of tourists within the destination, with a notable concentration of accommodation, attractions and visitors in the historic centre. The establishment of a coopetition network could contribute to the dispersion of activity.

Borrowing stewardship theory and self-determination theory as the theoretical lens, this study aims to develop a conceptual model for engendering distributor’s stewardship-oriented behaviors (SOBs) in manufacturer–distributor relationships.

This paper utilized primary dyadic data collected from 237 key informants of manufacturers and distributors in the Indian Pharmaceutical and FMCG industry to evaluate the study hypotheses using a structural equation modeling approach.

Findings indicate that key elements of intrinsic and identified motivation play a pivotal role in fostering distributor’s SOBs which in turn generate higher relationship performance outcomes for the manufacturer. Moreover, the effect of antecedents was moderated by manufacturer’s effective communication with the distributor.

Results of this study document four factors as antecedents to distributors’ SOBs, which manufacturers can strategically incorporate in their relationship strategies with distributors.

The study introduces the concept of SOBs to marketing channel literature, thereby extending channel theory by drawing attention to the distributor’s intrinsically motivated positive behaviors that are in the best interest of manufacturers.

Drawing on the literature on technological acquisition and the knowledge-based view , this study examines how technological overlap between acquiring and target firms influences acquisition premiums. We further explore how the resulting synergies are contingent on the dynamic characteristics of the target firm, specifically its technology clockspeed and industry munificence. Technology clockspeed indicates the pace of technological evolution, reflecting internal dynamic resources, while industry munificence represents the abundance of external resources. These boundary conditions illustrate the dynamics of synergies, explaining their moderation effects on acquisition premiums.

We analyze a sample of 369 technological acquisitions by publicly traded U.S. firms between 1990 and 2011. To test our hypotheses, we used the ordinary least squares regression model with robust standard errors clustered by acquiring firms. In the robustness checks, we applied the generalized estimating equations to account for non-independent observations in our sample and verified that the results were robust to an alternative two-way clustering approach.

We suggest that a low level of technological overlap between an acquiring firm and its target firm leads the acquiring firm to offer a high acquisition premium because of the expected synergistic potential that evolves from combining two distant technological bases. We further find that this effect is contingent on the target firm's technology clockspeed and industry munificence. Specifically, the negative effect is amplified when target firms exhibit a rapid pace of technological evolution, whereas it is weakened when target firms operate in highly munificent industries characterized by robust growth and abundant resource flows.

This study has several limitations, but it offers opportunities for future research. First, our sample is limited to domestic acquisitions between U.S. publicly traded firms, which may restrict generalizability. Cross-border acquisitions could reveal different dynamics, as technology leakage and national security concerns might make technological overlap a more sensitive factor. Additionally, private firms were not included, and their distinct strategic considerations could provide further insights. Future research could explore post-acquisition data to validate these synergies and expand the scope to include international contexts and private firms for a comprehensive analysis.

Our findings highlight important implications for managers in technology sector acquisitions. This study underscores the need for a thorough evaluation of target firms to avoid misjudging synergies. Low technological overlap can heighten expectations for value creation, making it crucial for executives to accurately assess potential synergies to prevent overestimation. Managers should consider both internal resources and external industry conditions when evaluating synergies. Ultimately, these insights help managers offer informed prices that reflect true strategic synergies, adopting effective valuation practices to mitigate risks of financial overpayments and poor post-merger performance.

The social implications of our findings emphasize the broader impact of acquisition decisions on innovation and competition within the technology sector. By ensuring accurate valuation and avoiding overpayment, companies can allocate resources more efficiently, fostering sustainable growth and innovation. This diligent approach can reduce the risk of corporate failures.

This study makes two key theoretical contributions. First, it identifies technological overlap as a critical determinant of acquisition premiums in technological acquisitions, addressing gaps in the literature that focused on CEO characteristics and managerial attention. Second, it expands the theoretical framework by highlighting the dynamic nature of synergies, influenced by the target firm's technology clockspeed and industry munificence. By integrating both acquiring and target firm characteristics, this study provides a relational perspective on value creation, explaining why firms pay high premiums and offering a more comprehensive understanding of the strategic motivations in technological acquisitions.

Social robotics is a rapidly growing application of artificial intelligence (AI) in society, encompassing an expanding range of applications. This paper aims to contribute to the ongoing integration of psychology into social robotics ethics by reviewing current theories and empirical findings related to human–robot interaction (HRI) and addressing critical points of contention within the ethics discourse.

The authors will explore the factors influencing the acceptance of social robots, explore the development of relationships between humans and robots and delve into three prominent controversies: deception, dehumanisation and violence.

The authors first propose design factors allowing for a positive interaction with the robot, and further discuss precise dimensions to evaluate when designing a social robot to ensure ethical design technology, building on the four ethical principles for trustworthy AI. The final section of this paper will outline and offer explicit recommendations for future research endeavours.

This paper provides originality and value to the field of social robotics ethics by integrating psychology into the ethical discourse and offering a comprehensive understanding of HRI. It introduces three ethical dimensions and provides recommendations for implementing them, contributing to the development of ethical design in social robots and trustworthy AI.

This paper aims to examine the evolution of organizational identification (OI) research over the past five decades and its journey through various lenses, such as the collaborative network of authors, organizations and countries. The conceptual and intellectual structure of the construct is analysed via keywords and co-citation pattern mapping.

OI research is rising in popularity, with 118 papers published in 2019, 168 papers in 2020 and 15 publications till February 2021 in the Scopus database. The Scopus database is used to retrieve 55 years of OI studies published between 1965 and 2021. The free bibliometric tools Biblioshiny and VOSviewer are used to analyse 1,034 journal papers.

The result showed that R. Van Dick is the most influential author and the USA is the most involved country in OI research. As per the findings, the Journal of Organizational Behaviour published most of OI research and “corporate social responsibility” and “organizational commitment” seem to be the most used keywords alongside OI.

This study will be highly beneficial to OI researchers making their understanding about the construct better. It will also encourage social psychologists to understand the construct utility in workplace social welfare programmes. The research could also help governments and funding bodies to evaluate grant requests. Furthermore, researchers from countries with the lowest proportion of OI studies would be encouraged to spend more time and effort in this area. It will offer insight into international marketing and how individuals and stakeholders perceive and connect with an organization globally.

To the best of the authors’ knowledge, this study is one of the important research studies carried out in the domain of OI in the international context. This is also one of the few studies which is spread out across different disciplinary areas including international marketing and management. The success of this paper can open avenues and influence future researchers to study in the OI and related cross-disciplinary areas of international management.

This paper aims to extend the concept of moral elevation from the individual level to the team/group level by introducing the notion of collective moral elevation (CME) and elucidating its emergence.

Drawing on social exchange theory and social capital arguments, this paper presents a conceptual framework that outlines the mechanisms through which moral norms, organizational symbols, social cohesion and repeated interactions facilitate the transition from individual internalization of norms to collective aggregation of moral elevation.

The proposed framework emphasizes the processual nature of CME, highlighting the importance of understanding sequences of events rather than merely examining static relationships between variables.

This paper is one of the pioneering academic works to offer a novel perspective on moral elevation, exploring its manifestation at the collective level and elucidating the dynamics of its emergence and evolution within teams and groups in organizational settings. Our proposed framework explicates how moral norms, organizational symbols, social cohesion, emulation and their iterations allow individuals to transition from individual internalization of norms to collective aggregation of moral elevation.

Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable of generating manifold forms of content, including music, text, images and synthetic data. The purpose of this study is to analyze the determinants that affect GenAI acceptance and its outcomes on both the explorative and exploitative forms of innovation.

The study employs a conceptual framework based on the technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part.

It is found that GenAI has the potential to facilitate both exploratory and exploitative innovation, particularly via the moderating effect of environmental dynamism. Hence the adoption of GenAI has potential to improve organizational performance.

The study is the first empirical project to investigate factors that influence manufacturing firms' adoption of GenAI. As the first project to have integrated the TOE paradigm when examining the impact of environmental dynamism on exploratory and exploitative innovation, the study emphasizes the double innovation potential of GenAI in organizational performance improvement.