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1 – 10 of 21Wim Coreynen, Johanna Vanderstraeten, Joeri van Hugten and Arjen van Witteloostuijn
Despite the increasing attention given to product-service integration (PSI), little is known about this innovation strategy from a key decision-maker’s perspective. To address…
Abstract
Purpose
Despite the increasing attention given to product-service integration (PSI), little is known about this innovation strategy from a key decision-maker’s perspective. To address this gap, our study draws from personality psychology and decision-making (DM) logics theory to better understand why and how companies’ decision-makers strategize for PSI.
Design/methodology/approach
Using an abductive, empirics-first approach, we identify the study’s theoretical building blocks, followed by an exploratory quantitative analysis to generate new theory. We propose a fit-as-mediation conceptual framework suggesting that (1) specific personality traits [i.e. honesty-humility (H), emotionality (E), extraversion (X), agreeableness (A), conscientiousness (C) and openness to experience (O) (HEXACO)] make decision-makers more likely to include PSI in their company’s strategy and (2) depending on their personality, they apply different DM logics (i.e. causation or effectuation) to do so. To empirically examine this, we use data from 289 SMEs’ decision-makers.
Findings
We report several meaningful relationships among our key theoretical constructs. For instance, we find that conscientious decision-makers are more likely to develop a PSI strategy via causation, whereas extravert decision-makers are more likely to do so via both causation and effectuation.
Originality/value
This service study is the first to apply the well-established HEXACO Personality Inventory to companies’ key decision-makers. Moreover, it contributes to the microfoundations of PSI strategy and DM logic theories.
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The purpose of this paper is to present a framework of ideation pathways that organically extend the current stock of knowledge to generate new and useful knowledge. Although…
Abstract
Purpose
The purpose of this paper is to present a framework of ideation pathways that organically extend the current stock of knowledge to generate new and useful knowledge. Although detailed, granular guidance is available in the strategy literature on all aspects of empirically testing theory, the other key aspect of theory development – theory generation – remains relatively neglected. The framework developed in this paper addresses this gap by proposing pathways for how new theory can be generated.
Design/methodology/approach
Grounded in two foundational principles in epistemology, the Genetic Argument and the open-endedness of knowledge, I offer a framework of distinct pathways that systematically lead to the creation of new knowledge.
Findings
Existing knowledge can be deepened (through introspection), broadened (through leverage) and rejuvenated (through innovation). These ideation pathways can unlock the vast, hidden potential of current knowledge in strategy.
Research limitations/implications
The novelty and doability of the framework can potentially inspire research on a broad, community-wide basis, engaging PhD students and management faculty, improving knowledge, democratizing scholarship and deepening the societal footprint of strategy research.
Originality/value
Knowledge is open-ended. The more we know, the more we appreciate how much we don’t know. But the lack of clear guidance on rigorous pathways along which new knowledge that advances both theory and practice can be created from prior knowledge has stymied strategy research. The paper’s framework systematically pulls together for the first time the disparate elements of transforming past learning into new knowledge in a coherent epistemological whole.
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NORTH KOREA/JAPAN: Ties will remain frozen
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DOI: 10.1108/OXAN-ES286139
ISSN: 2633-304X
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Geographic
Topical
MALI: Junta risks alienating key local constituency
Elsa Pedroso and Carlos F. Gomes
This paper aims to map the research on management accounting (MA), clarifying its current role and identifying gaps and opportunities for future research.
Abstract
Purpose
This paper aims to map the research on management accounting (MA), clarifying its current role and identifying gaps and opportunities for future research.
Design/methodology/approach
In this paper, 784 papers were reviewed for the 1958–2019 period, published in 220 scientific journals indexed on Clarivate Analytics’ Web of Science (Science Citation Index Expanded [SCI-EXPANDED] and Social Sciences Citation Index [SSCI]). In the process, content analysis, regression analysis and bibliometric analysis were used.
Findings
The most relevant journals, authors and topics in MA, along with trends and patterns in the literature, were identified. Seven clusters that represent the overall thematic research structure of the MA field were also identified. This study shows that MA is becoming a multidimensional management decision-support instrument covering all organizational dimensions. As such, the research on MA is following the recent concerns with the sustainable development and digitalization of business processes.
Research limitations/implications
Based on the findings of this research study, theoretical and practical implications for MA researchers were provided. These findings could also be useful to industry practitioners to improve their knowledge of emerging trends in MA practices, strategies and concepts.
Originality/value
Based on bibliometric and content analysis, a framework that shows an organizational, market and social context for the evolution of MA over the past 60 years was provided. It highlights the dynamics of MA alignment with organizational and external environment changes. Future research opportunities and implications for researchers and practitioners were also identified.
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Although criticisms targeting the DSS are long-standing, no recent Nigerian government has attempted major intelligence reforms.
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DOI: 10.1108/OXAN-DB286573
ISSN: 2633-304X
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Geographic
Topical
Kishida and Biden hailed a historic upgrade in defence ties and announced a record volume of around 70 agreements, spanning various sectors.
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DOI: 10.1108/OXAN-DB286581
ISSN: 2633-304X
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Geographic
Topical
Farjam Eshraghian, Najmeh Hafezieh, Farveh Farivar and Sergio de Cesare
The applications of Artificial Intelligence (AI) in various areas of professional and knowledge work are growing. Emotions play an important role in how users incorporate a…
Abstract
Purpose
The applications of Artificial Intelligence (AI) in various areas of professional and knowledge work are growing. Emotions play an important role in how users incorporate a technology into their work practices. The current study draws on work in the areas of AI-powered technologies adaptation, emotions, and the future of work, to investigate how knowledge workers feel about adopting AI in their work.
Design/methodology/approach
We gathered 107,111 tweets about the new AI programmer, GitHub Copilot, launched by GitHub and analysed the data in three stages. First, after cleaning and filtering the data, we applied the topic modelling method to analyse 16,130 tweets posted by 10,301 software programmers to identify the emotions they expressed. Then, we analysed the outcome topics qualitatively to understand the stimulus characteristics driving those emotions. Finally, we analysed a sample of tweets to explore how emotional responses changed over time.
Findings
We found six categories of emotions among software programmers: challenge, achievement, loss, deterrence, scepticism, and apathy. In addition, we found these emotions were driven by four stimulus characteristics: AI development, AI functionality, identity work, and AI engagement. We also examined the change in emotions over time. The results indicate that negative emotions changed to more positive emotions once software programmers redirected their attention to the AI programmer's capabilities and functionalities, and related that to their identity work.
Practical implications
Overall, as organisations start adopting AI-powered technologies in their software development practices, our research offers practical guidance to managers by identifying factors that can change negative emotions to positive emotions.
Originality/value
Our study makes a timely contribution to the discussions on AI and the future of work through the lens of emotions. In contrast to nascent discussions on the role of AI in high-skilled jobs that show knowledge workers' general ambivalence towards AI, we find knowledge workers show more positive emotions over time and as they engage more with AI. In addition, this study unveils the role of professional identity in leading to more positive emotions towards AI, as knowledge workers view such technology as a means of expanding their identity rather than as a threat to it.
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