Search results

This paper aims to investigate how congruent keywords are used in information security policies (ISPs) to pinpoint and guide clear actionable advice and suggest a metric for measuring the quality of keyword use in ISPs.

A qualitative content analysis of 15 ISPs from public agencies in Sweden was conducted with the aid of Orange Data Mining Software. The authors extracted 890 sentences from these ISPs that included one or more of the analyzed keywords. These sentences were analyzed using the new metric – keyword loss of specificity – to assess to what extent the selected keywords were used for pinpointing and guiding actionable advice. Thus, the authors classified the extracted sentences as either actionable advice or other information, depending on the type of information conveyed.

The results show a significant keyword loss of specificity in relation to pieces of actionable advice in ISPs provided by Swedish public agencies. About two-thirds of the sentences in which the analyzed keywords were used focused on information other than actionable advice. Such dual use of keywords reduces the possibility of pinpointing and communicating clear, actionable advice.

The suggested metric provides a means to assess the quality of how keywords are used in ISPs for different purposes. The results show that more research is needed on how keywords are used in ISPs.

The authors recommended that ISP designers exercise caution when using keywords in ISPs and maintain coherency in their use of keywords. ISP designers can use the suggested metrics to assess the quality of actionable advice in their ISPs.

The keyword loss of specificity metric adds to the few quantitative metrics available to assess ISP quality. To the best of the authors’ knowledge, applying this metric is a first attempt to measure the quality of actionable advice in ISPs.

While digital transformation holds immense promise, organizations often fail to realize its benefits. This study aims to address how policies for digital transformation benefits realization are translated into practice.

The authors apply a qualitative, comparative case study of two large, public-sector health care organizations in Sweden. Through document and interview data, the authors analyze the process of translation.

The study finds that practice variation is primarily caused by two types of decoupling: policy-practice and means-ends. Contrary to previous studies, coercion in policy compliance is not found to decrease practice variation.

The limitations primarily stem from the empirical selection of two large public health-care organizations in Sweden, affecting the study’s generalizability. Reducing practice variation is more effectively achieved through goal alignment than coercion, leading to implications for the design of governance and control.

Policymakers should, instead of focusing on control-related compliance, work to align organizational objectives and policies to decrease practice variation for successful benefits realization.

The study contributes to better benefits realization of digital transformation initiatives in health care. As such, the authors contribute to a better functioning and more transformative health care in times of increased demand and decreased supply of health-care services.

The study challenges conventional wisdom by identifying that coercion is less effective than goal alignment in reducing practice variation, thereby enhancing the understanding of policy implementation dynamics in health-care settings.

Algorithm bias refers to repetitive computer program errors that give some users more weight than others. The aim of this article is to provide a deeper insight of algorithm bias in AI-enabled ERP software customization. Although algorithmic bias in machine learning models has uneven, unfair and unjust impacts, research on it is mostly anecdotal and scattered.

As guided by the previous research (Akter et al., 2022), this study presents the possible design bias (model, data and method) one may experience with enterprise resource planning (ERP) software customization algorithm. This study then presents the artificial intelligence (AI) version of ERP customization algorithm using k-nearest neighbours algorithm.

This study illustrates the possible bias when the prioritized requirements customization estimation (PRCE) algorithm available in the ERP literature is executed without any AI. Then, the authors present their newly developed AI version of the PRCE algorithm that uses ML techniques. The authors then discuss its adjoining algorithmic bias with an illustration. Further, the authors also draw a roadmap for managing algorithmic bias during ERP customization in practice.

To the best of the authors’ knowledge, no prior research has attempted to understand the algorithmic bias that occurs during the execution of the ERP customization algorithm (with or without AI).

This research investigates the critical role of data governance (DG) in shaping a data-driven culture (DDC) within organizations, recognizing the transformative potential of data utilization for efficiency, opportunities, and productivity. The study delves into the influence of DG on DDC, emphasizing the mediating effect of data literacy (DL).

The study empirically assesses 125 experienced managers in Indonesian public service sector organizations using a quantitative approach. Structural Equation Modeling (SEM) analysis was chosen to examine the impact of DG on DDC and the mediating effects of DL on this relationship.

The findings highlight that both DG and DL serve as antecedents to DDC, with DL identified as a crucial mediator, explaining a significant portion of the effects between DG and DDC.

Beyond unveiling these relationships, the study discusses practical implications for organizational leaders and managers, emphasizing the need for effective policies and strategies in data-driven decision-making.

This research fills an important research gap by introducing an original model and providing empirical evidence on the dynamic interplay between DG, DL, and DDC, contributing to the evolving landscape of data-driven organizational cultures.

Based on the conservation of resources theory, this study aims to investigate if the fear of career harm influences employees’ knowledge-hoarding behavior. The study further examines felt violation as the predictor of employees’ fear of career harm. The study also explores leader-member exchange as a boundary factor influencing the effect of felt violation on employees’ fear of career harm.

The data were collected in three waves from 402 professionals working in the information technology industry in Bengaluru, popularly known as the Silicon Valley of India.

The findings indicate fear of career harm as a critical predictor of employees’ knowledge-hoarding behavior. Moreover, felt violation indirectly impacts knowledge-hoarding behavior by enhancing employees’ fear of career harm. The adverse effect of felt violation was found to be stronger for employees with poor-quality relationships with their leaders.

The study carries important managerial implications as it uncovers the antecedents of knowledge hoarding. First, the human resource department can devise specific guidelines to ensure that the employees are treated the way they were promised. They can also organize training opportunities and mentoring so that the employees’ performance and growth do not get hampered, even if there is a violation. Moreover, such cases should be addressed in an adequate and expedited manner. More significantly, leaders can compensate for the failure of organizational-level levers by developing quality relationships with their subordinates.

The study advances the existing literature on knowledge hoarding by establishing a novel antecedent. Furthermore, it identifies how the employee-leader relationship’s quality can mitigate the adverse effect of felt violation.

Involving employees in making management decisions is a powerful way to enhance organizational performance. However, employee involvement (EI) might exacerbate psychosocial stress at work. This paper aims to investigate this issue, illuminating the implications of EI on work-related stress.

Secondary data were collected from the third wave of the European Survey of Enterprises on New and Emerging Risks. A conditional process analysis based on ordinary least square regression and bootstrap sampling was accomplished to obtain evidence of the implications of EI on psychosocial risks (PSR) at work, taking into consideration the mediating role of organizational health promotion initiatives (HPI).

EI increased the sources of psychosocial stress at work, adding to individual job demands. Involving employees was positively related to a greater organizational concern for HPI, which, in turn, lessened psychosocial strain.

Although it contributes to organizational performance, EI propels work-related stress, which undermines individual and collective wellbeing. Involvement practices should be coupled with tailored HPI to address the PSR at work triggered by involvement, empowering people to cope with strain.

Scientific literature emphasizes the positive implications of EI on organizational performance, but little is known about its side effects on work-related stress. The paper provides original insights into this topic, arguing that HPI are necessitated to address the drawback of involvement on work-related stress.

Knowledge sharing is increasingly important in today’s information age and extant literature considers knowledge hoarding as an undesirable form of knowledge-withholding behavior. As knowledge hoarding is a generic, nonintentional behavior, specific attitudes and organizational processes are unlikely to curb it. Hence, the study postulates that reflection, awareness and group identification are necessary to combat innate tendencies toward knowledge hoarding. To test these hypotheses, this study aims to explore the role of mindfulness and relational systems in reducing employees’ knowledge hoarding by increasing their meaning-making through work.

The study results are based on a cross-sectional survey of 203 employees in India working for different organizations. Standardized scales were used for capturing data, and partial least squares structural equation modeling was used for analysis.

Mindfulness and team cohesion were positively related to an increase in meaning-making through work. Supervisor support improved perceptions of team cohesion. However, contrary to expectations, team cohesion and meaning-making through work were positively, rather than negatively, related to knowledge hoarding.

The cross-sectional nature of the study prevents strong inference of causal relationships. Future studies may use a longitudinal design to test the relationships.

It highlights the role of meditation sessions and supervisory support in improving employees’ perceptions of meaning-making through work. It exhorts managers to systematically assess the impact and societal perceptions regarding knowledge hoarding rather than automatically assume a negative attitude.

To the best of the authors’ knowledge, this is the first study to investigate the impact of mindfulness, team cohesiveness and meaning-making through work on employees’ knowledge hoarding behaviors. The study results suggest that knowledge hoarding may be perceived positively in certain cultures. It highlights the inconsistencies in the conceptualization and operationalization of knowledge hoarding and suggests the need for better construct delineation and empirical studies related to knowledge hoarding.

Sustainable management requires companies to build up new knowledge to acquire the competencies needed for action. This chapter aims to deliver knowledge about sustainability and knowledge for sustainability. Firstly, we systematically analyse the sustainability literature in the social sciences through a bibliographic analysis and topic modelling using VOSviewer and Mallet software. We outline research directions, themes and critical contributions for each research cluster identified. Additionally, we categorise over 30 definitions of sustainability identified by Meuer, Koelbel, and Hoffmann (2020). Secondly, we enumerate knowledge types needed for effective sustainability transitions of organisations. We trace typologies of sustainable business models and their distinct evaluations of sustainability. In this chapter, we argue that integrating the triad of social, ecological and economic goals is central for sustainability attempts as well as long-term thinking. Therefore, our research offers a comprehensive overview of sustainability in the social sciences supporting researchers and practitioners to navigate this miscellaneous and scattered field. Accordingly, our study is precious to young scholars researching sustainability who want to use the term in an informed and meaningful way.

Entrepreneurial education is gaining traction in Ghana. The purpose of this chapter was to assess the influences of social enterprises in promoting entrepreneurial education, using Ghanaian social enterprises as a case study. The study adopted a qualitative research approach. A multiple case study analysis examined the influences of social enterprises in Ghana. Four in-depth qualitative case studies offer insight into social enterprise practices. Sustainability, innovation, control and employment issues stand out as key effects of Ghanaian social enterprise practices. The social practice theory framework is used to draw the linkages of the structure and agency relationships. Sustainability emerges as the most dominant impact of social enterprise practice followed by innovation, control and employment. These four descriptive terms summarise the universal effects of Ghanaian social enterprises' practices. The study identifies and assesses the role of social enterprises in social entrepreneurial education in addressing social ills and environmental challenges facing Ghana. The emphasis placed on each of the identified four constructs describes the plausible roles of Ghana's social enterprises in achieving productive entrepreneurship through entrepreneurship education. The result shows the pursuit of multiple practices is a common feature of social enterprises. The limitations of the study stem from methodological approach as it is qualitative approach bias and a single country case. Likewise, the subjectivities of the samples direct the results of the study. The study draws the attention of stakeholders and policymakers to the goodwill of social entrepreneurship education in Ghana. Many studies have been conducted on entrepreneurial education in the contextual setting of this study. This present study focused on the practices of social enterprises in Ghana that influences entrepreneurial education.