Bruno Luiz Americo, Stewart Clegg and Fagner Carniel
Despite being conjointly stronger in their synergies in the past, there is still a significant gap between management and organization studies and sociology. The temporal lag is…
Abstract
Despite being conjointly stronger in their synergies in the past, there is still a significant gap between management and organization studies and sociology. The temporal lag is also, on occasion, a substantive lag. The emergent sociological concept of emotional reflexivity has recently been used in organizational studies. The question that animates this contribution concerns the nature of this translation, reception, and extension; thus, we ask how organization studies have been using the sociological concept of emotional reflexivity? We will examine recent seminal sociological studies on emotional reflexivity to answer this inquiry and consider some organizational studies citing these. We describe the reception of sociological ideas of emotional reflexivity in management and organization studies literature. By analyzing the differences and disconnections produced within this discourse, it will be possible to understand that emotional reflexivity is rarely addressed in emotional encounters between people and other modes of being in modern organizations. We introduce narrative fiction as a method; the narrative focuses on the relationships between humans and other beings in the workplace dynamics of a vocational school. The story tells how Charlie, a deaf student, changed his life after entering the vocational school and becoming involved with different pedagogical teaching-learning strategies. Adopting two deaf dogs, which had both suffered from past unsuccessful adoption experiences, produced life-enhancing emotional reflexivity. We conclude with a research agenda scoping further directions.
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Daring to challenge the status quo impacts innovation. Yet, successful outcomes depend on individual risk-taking and choice to influence others to support new ideas. This…
Abstract
Daring to challenge the status quo impacts innovation. Yet, successful outcomes depend on individual risk-taking and choice to influence others to support new ideas. This Challenging the Status Quo exercise illustrates how leaders use power and influencing tactics to challenge norms by analyzing Donald Trump’s journey as the 45th U.S. President to defy experts and successfully influence followers to support his non-traditional candidacy: businessman lacking political experience becoming leader of the free world. Through integrating videoclips and polls, instructors make power visible, relevant, and thought-provoking as students apply power theory and influencing tactics perspectives to analyze (a) how leaders impact followers’ perceptions, (b) students mutual-influencing strategies, (c) power’s relationship with social identity and privilege, and (d) social impact on innovation via activism and free speech.
Based on a review of professional staff (PS), which includes research managers and administrators, in 54 academic publications, I propose a novel definition for this category of…
Abstract
Based on a review of professional staff (PS), which includes research managers and administrators, in 54 academic publications, I propose a novel definition for this category of staff: ‘degree holding university employees who are primarily responsible for developing, maintaining and changing the social, digital and physical infrastructures that enable education, research and knowledge exchange’. The proposed definition facilitates the development of new research questions that target the level of the organisational fields of higher education and science, to complement research on the university and individual levels. This view supports the study of the contributions of PS to higher education and science. I anticipate that such a broader focus will help to counter and nuance accounts of ‘administrative bloat’ by focusing on how PS as a group shape and are shaped by the organisational fields of higher education and science, rather than dismissing them as superfluous or parasitic.
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Arne Walter, Kamrul Ahsan and Shams Rahman
Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the…
Abstract
Purpose
Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.
Design/methodology/approach
Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.
Findings
We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.
Originality/value
This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.
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Maciej Urbaniak, Dominik Zimon and Peter Madzik
This article aims to map the expectations of manufacturing companies towards suppliers in terms of implementing improvement activities. The article poses two research questions…
Abstract
Purpose
This article aims to map the expectations of manufacturing companies towards suppliers in terms of implementing improvement activities. The article poses two research questions: RQ1: What kind of improvement of activities do the surveyed producers expect from their suppliers? RQ2: Do factors such as size, capital or implemented systems influence different assessments of the analyzed requirements toward suppliers?
Design/methodology/approach
The Computer Assisted Telephone Interview (CATI) technique was used to collect data. The sample consists of 150 producers (employing over 50 people) who were suppliers for enterprises from the automotive, electromechanical and chemical sectors operating in the Polish business-to-business (B2B) market. We analyzed 11 improvement activities, while their correlation structure was examined by exploratory factor analysis.
Findings
We have identified three latent factors – risk reduction, product innovation and increasing efficiency – which summarize the main expectations of manufacturing companies towards suppliers. Expectations for these factors are independent of the implemented management system, although the analysis showed higher expectations for product innovation in organizations with the implementation of Kaizen.
Originality/value
The article fills the research gap in the literature. The research results presented in the literature so far have focused on the expectations of enterprises towards suppliers in terms of meeting the criteria for their initial and periodic assessment. The research gap in the article is the result of empirical research presenting the expectations of manufacturers towards suppliers in terms of improving their processes. Based on the findings of the presented study, development trends and implications for managers responsible for purchasing processes and relationships with suppliers can be determined.
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Talent Murwendo, Amon Murwira and Mhosisi Masocha
The purpose of this study is to model and predict mammalian herbivore species abundance in Gonarezhou National Park (GNP), south eastern Zimbabwe. The study also aims to determine…
Abstract
Purpose
The purpose of this study is to model and predict mammalian herbivore species abundance in Gonarezhou National Park (GNP), south eastern Zimbabwe. The study also aims to determine and evaluate the distribution-abundance patterns in GNP.
Design/methodology/approach
Using aerial survey data from 1980 to 2016, the authors use the rank-abundance model to determine the abundance of mammalian herbivores in GNP. Regression analysis is used to show the mammalian herbivore species distribution-abundance relationship.
Findings
The findings point to a high species richness and evenness in the study area with common species (15%), intermediate (30%) and rare (60%). There is a positive significant relationship (p = 0.00, R2 = 0.9642) between abundance and distribution with common species occupying wider spaces and rare species occupying narrow spaces.
Research limitations/implications
Aerial surveys in GNP are not continuous and are biased towards elephants. The inclusion of other mammalian herbivore species including domestic animals in subsequent surveys made the aerial reports useful.
Originality/value
Studies in GNP have tended to concentrate on the population of mammalian herbivores and this marks a shift in emphasis in such studies. The monitoring of mammalian species improves the conservation and management of GNP. Apart from making planning and policy decisions from an informed point of view small animals also need attention as they are numerically few than the large threatened mammals.
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Relinde De Koeijer, Jaap Paauwe, Robbert Huijsman and Mathilde Strating
This study aims to examine the effect of human resource management (HRM) in mitigating negative effects of Lean management and Six Sigma (LM&SS) on employee well-being in health…
Abstract
Purpose
This study aims to examine the effect of human resource management (HRM) in mitigating negative effects of Lean management and Six Sigma (LM&SS) on employee well-being in health care. The authors subdivide well-being into three components: happiness, trust and health.
Design/methodology/approach
This is a cross-sectional, multisite survey study in internal service units of hospitals. Data analyzed using multivariate regression come from a sample of 1,886 survey respondents (42 units, N = 218 supervisors, N = 1,668 employees) in eight Dutch academic hospitals that have implemented LM&SS.
Findings
The present study findings show no or weak effects of LM&SS on the happiness and health component of employee well-being. In addition, the authors found a significant but weak direct positive effect (ß = 0.07) of the LM&SS bundle on the trusting relationships component of well-being. Therefore, moderating effects of HRM practices on the relationship between LM&SS and employee well-being seem less relevant because an existing relationship between LM&SS and employee well-being is a prerequisite for moderation (Hayes, 2009). There were unexpected side effects. Inspired by research that discusses direct effects of HRM on employee well-being, the authors tested this relationship and found that HRM has a direct positive effect on trust and happiness of employees in health care. For the health component of well-being, the present results show a weak negative effect of HRM.
Practical implications
This study results in a cautiously optimistic view about LM&SS in health care, provided that it is applied in a targeted manner (to improve the performance of their processes) and that HRM is strategically aligned with the goals of LM&SS to improve employees’ happiness and trusting relationships.
Originality/value
Unique features of the study are the focus on the consequences for employees’ well-being related to LM&SS in health care, the role of HRM in regard to this relationship and the participation of all eight Dutch academic hospitals in this research.
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Mercy Chemutai Barasa, Proscovia Namubiru Ssentamu, John Koskey Chang’ach and Susan Jepkoech Kurgat
This paper aims to explore the extent to which the Uganda lower secondary curriculum (LSC) reform, instituted in January 2020, has ensured equitable educational opportunities for…
Abstract
Purpose
This paper aims to explore the extent to which the Uganda lower secondary curriculum (LSC) reform, instituted in January 2020, has ensured equitable educational opportunities for secondary school learners considering school and learner socio-economic status.
Design/methodology/approach
A qualitative approach was adopted in which the experiences and perceptions of both facilitators and implementers of the reform were gathered using interviews and lesson observations.
Findings
Data revealed disparities among high and low socio-economic-status schools in their preparedness and capacity to implement the reform, with the consequence of divergent educational opportunities for learners in these contexts.
Research limitations/implications
The sample was limited to government-aided secondary schools and thus excluded private schools; the majority in Uganda. This means that the findings may be limited in generalizability. However, the majority of private schools serve the lower socio-economic demographic, so the study findings and implications may extend to them as well.
Practical implications
The findings suggest that unless the government intervenes with measures to boost the capacity of schools in low socio-economic contexts to implement the reform, the outcome of the curriculum may be a society further stratified along socio-economic lines.
Social implications
The findings indicate that the new LSC may contribute greatly to social stratification through disparate educational opportunities for different sections of the Ugandan populace. This could work against national socio-economic ambitions and also lead to non-achievement of the UN SDG4 of quality, equitable, inclusive education for all.
Originality/value
This paper demonstrates how Uganda, a developing nation, is faring in the achievement of the global educational policy goal of equity in the implementation of its competence-based LSC reform. It highlights key policy and research gaps that should be addressed to promote equitable learning opportunities for all learners.
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Colin Donaldson, Sascha Kraus, Andreas Kallmuenzer and Cheng-Feng Cheng
This study aims to explore which relational factors are crucial for accelerator-based start-ups to achieve high financial performance and whether innovation levels influence this…
Abstract
Purpose
This study aims to explore which relational factors are crucial for accelerator-based start-ups to achieve high financial performance and whether innovation levels influence this relationship. Utilizing fsQCA and drawing from the resource-based view (RBV), we analyze 128 start-ups in a Spanish accelerator, split by innovativeness, to understand the impact of relational and human capital factors on performance.
Design/methodology/approach
The study uses fuzzy-set qualitative comparative analysis (fsQCA) to investigate conditions leading to high financial performance among 128 start-ups in a Spanish accelerator, divided by innovativeness. Four key factors are analyzed: social capital, social competence, resource mobilization and entrepreneurial ecosystem support. fsQCA examines complex relationships between these factors and financial performance.
Findings
Relational and human capital factors significantly impact start-up financial performance, varying with innovativeness. Highly innovative start-ups benefit from social competence and networked support, while less innovative but profitable start-ups rely on resource mobilization skills. The study highlights the contingent value of these factors, showing that unique configurations drive financial success.
Research limitations/implications
The paper enhances the RBV in entrepreneurial contexts by highlighting the critical role of relational resources and their configurations. It suggests social competence and networked support are crucial for highly innovative start-ups, while resource mobilization is key for less innovative ones. These findings encourage nuanced theorizing of start-up success strategies, considering varying innovativeness levels and their impact on performance.
Originality/value
This study enhances understanding of the relationship between relational factors and financial performance in accelerator-based start-ups, considering innovation levels. It provides insights into how different configurations of social capital, competence, resource mobilization and ecosystem support lead to success. It underscores the importance of considering the contingent value of relational factors for start-up growth.