Search results

This paper expands on existing analyses of corporate energy and sustainability communication and shows the potential of evolutionary theory to study and conceptualize sustainable corporate communication as niche construction and its transformative and transformational potential.

With a qualitative content analysis of non-financial reporting of energy corporations and a deep dive into one selected case (Yin, 2013) with a two-step categorization of the sustainability related text and (n = 5) expert interviews (QCAmap, Mayring, 2019; Fenzl and Mayring, 2017), the paper reflects on alterations within the organization and in the organization–stakeholder relationships through corporate sustainability communication.

The analytical deep dive into one case of corporate sustainability communication of a multinational energy corporation shows the difference between a transformative and transformational character of corporate communication. The insights from the interviews support the assumption that corporates not only adapt to changes of environmental factors (perturbative communication) but also – however rarely – alter their spatiotemporal relationships with their external environment (relocational communication), so there is a lack of actual transformational communication.

Corporates in the (renewable) energy sector as well as industry networks like gas (infrastructure) suppliers have the potential to impact their environment (stakeholder, energy communities, etc.), change cultural patterns and norms and co-construct new socio-ecological niches through communication. The study presented gives evidence and examples for transformative corporate sustainability communication. On a conceptual level, it offers an innovative framework to understand sustainability as a guiding principle for corporate communication that will stimulate corporate communication research in the future.

This study explores the roles of formal advisors (FAs) in the succession process of family firms and the factors that determine them.

Data for this study were collected through interviews with 38 FAs, including lawyers, tax advisors, financial ad-visors and others.

FAs play multiple roles simultaneously in succession processes (both internal and external), which the authors call role hybridity. Among them, the authors differentiated roles, such as educators, sherpas, initiators, experts, managers, consiglieres and protectors. Additionally, the authors demonstrated that the critical factors shaping these roles are trust, communication, human capital and willingness to take on the role. To explain the role hybridity phenomenon, the authors used stewardship theory's assumptions and formulated propositions for further research.

This study provides insight into both internal and external succession processes from the perspective of various types of FAs. The authors indicate their roles and the factors that determine them.

The purpose of this study is to explore the increased uptake of Artificial Intelligence (AI) technology by Facility Management (FM) organizations for enhanced operational efficiency and competitive advantage. While AI adoption in FM has been widely reported, limited attempts have been made to assess its impact on the social well-being of FM employees. To contribute towards addressing this gap, this study established the essential employee social well-being factors mostly impacted by the adoption of AI in South African FM organizations.

A four-stage design comprising a comprehensive review of literature, expert interviews, questionnaire census and focus group discussion sessions was used to elicit data from a sample of participants drawn from 22 South African FM organizations. The data was analyzed using a combination of content analysis, relative importance index and interpretative structural modeling for various data sets toward achieving the study’s objectives.

Sixteen employee social well-being factors, classified under job satisfaction, social relationship and knowledge development categories, respectively, were identified as being impacted by AI adoption in FM organizations. Furthermore, it was established that job security, job autonomy and professional status, which belong to the job satisfaction social well-being factor category, were deemed by FM employees as being mostly impacted by AI adoption.

The enhanced understanding of the impact of AI adoption on FM employees’ social well-being factors will contribute to the development of a collaborative intelligence framework for managing AI adoption in FM organizations toward engendering optimal AI–FM employee relationships for improved productivity.

Besides being one of the foremost studies to investigate the impact of AI adoption on FM employees’ social well-being, this study introduces a hierarchical framework of understanding employee social well-being factors based on multi-stakeholder perspectives.

The dynamic environment has necessitated searching for new ways for managing and grooming people for better performance. The purpose of this study is to explore ambidexterity in human resource management (HRM) for better management of paradoxical tensions and its effect on employee performance. Further, this research also addresses the black box in this relationship by evaluating the extraneous (managers’ ambidextrous orientation) and mediating (individual ambidexterity) variables in this relationship.

A quantitative research methodology has been used to explore the ambidexterity in HRM and its impact on employee performance. Around 470 banks have been contacted for data collection. The data have been thoroughly examined for reliability and validity. Further, it has also been checked for common method variance.

The findings revealed that individual ambidexterity mediates the relationship between ambidextrous HRM and employee performance. Further, managers’ ambidextrous orientation moderates the relationship between ambidextrous HRM and individual ambidexterity.

The present study makes an important contribution to the strategic HRM literature in general. The theoretical and practical implications have also been put forth for academic and practical fields. Lastly, the study contributes towards ambidexterity literature by examining it from an HRM perspective.

This study aimed to identify the determinants of farmers' participation in agricultural information-sharing digital groups and their impacts on farm performance.

Primary data of the 2015/2016 crop year collected from 175 cattle farmers were analyzed using descriptive statistics and econometric models. Farmers who had smartphones and participated in social groups/applications, especially those created to exchange agricultural information, were considered adopters of the technology.

A Poisson hurdle model showed that farmers' decision to participate in agricultural information-sharing digital groups is determined by schooling, age (negative effect) and use of tools for planning production. The intensity of participation is affected by risk propensity, interaction with specialist advisors, use of tools for planning production and participation in cooperatives. The authors also found empirical evidence that farmers' participation in agricultural information-sharing digital groups positively affects farm income per hectare.

The results of this study are important for accelerating the diffusion of low-cost digital technologies, which are powerful tools for improving farmers' sharing and access to valuable information in real time and in locations far from urban areas.

To the best of the authors’ knowledge, this is the first empirical analysis of the adoption and impacts of agricultural information-sharing digital groups/applications by Brazilian cattle farmers. The diffusion of simple digital technologies is important for reducing heterogeneity and increasing the efficiency of cattle production.

This study aims to reveal the positive effects of workplace fun forms on employee positive affect state and workplace well-being. This study also aims to examine workplace friendship opportunity and workplace friendship prevalence in the context of fun events and workplace well-being.

The research model developed and tested with responses from 1,000 thousand Indian frontline employees of five-star hotels who have worked in the hospitality industry for at least two years and who have been exposed to fun committees at their workplace.

This study revealed that workplace fun forms are the main causes of employee positive affective reactions, and they have positive effects on frontline employees' positive affect. The study also found that fun activities, customer interaction with fun and manager support for fun as workplace events are strong proximal causes for forming positive affect when they have workplace friendship opportunity. Coworker socialization can induce employee positive affect in the workplace, even without the moderating effect of workplace friendship opportunity. Additionally, the positive effect of positive affect was found to be significant on workplace well-being.

Hospitality management is required to foster fun culture with fun activities, coworker socialization, manager support for fun and customer interaction with fun that enhance employee affective reactions to uplift employee positive affect state. This study also presents more interesting practical implications for practitioners and managers.

This study empirically tested deferential workplace fun forms on positive affect, and study provides novel insights into positive affect and workplace well-being. Four mediation mechanisms examined on fun forms and workplace well-being. Four moderating roles of workplace friendship opportunity tested on positive affect and fun events. Workplace friendship prevalence moderation on positive affect and workplace well-being helped to understand employee cognitive mechanism.

Age-inclusive management practices are crucial for addressing the needs of the older workforce, but there is limited research on these practices. One underexplored area is how workplaces can support older employees dealing with the loss of a loved one. The psychological process of loss differs for older employees and can have adverse effects on their ability to perform in the workplace. The purpose of this paper is to explore how workplaces can provide the necessary tools to support their older grieving employees.

This conceptual paper draws on the job-demand resource model and signaling theory to investigate how flexible work arrangements can support older employees after a bereavement and contribute to optimal employee performance.

Flexible work arrangements are theorized to lead to optimal performance via informational support. An ethical climate and stronger cultural competencies are proposed to strengthen this relationship. A theoretical framework is presented for a comprehensive research approach.

This paper advances the current understanding of age-inclusive management and offers a novel perspective on the benefits of flexible working arrangements.

Facilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of digital technologies by FM organizations, there exists a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges.

This study focuses on South Africa, a developing nation grappling with climate change’s ramifications on its infrastructure. Through a combination of systematic literature review and an online questionnaire survey, data was collected from representatives of 85 professionally registered FM organizations in South Africa. Analysis methods employed include content analysis, Relative Importance Index (RII), and Total Interpretative Structural Modeling (TISM).

The findings reveal that regulatory compliance and a responsible supply chain serve as critical drivers for AI adoption among South African FM organizations. Conversely, policy constraints and South Africa’s energy crisis emerge as major barriers to AI adoption in combating climate change challenges within the FM sector.

This study contributes to existing knowledge by bridging the gap in understanding how AI technologies are utilized by FM organizations to address climate challenges, particularly in the context of a developing nation like South Africa. The research findings aim to inform policymakers on fostering a conducive environment for FM organizations to harness AI in fostering climate resilience in built assets.

The purpose of this study is to identify the impact of Michel Porter's generic business-level strategies adopted by the organisation on its employer branding strategy. Based on the expert’s opinion and insights, this study aims to determine the extent to which the employer branding strategy, its inherent significance, the requisite investment and the used tactics are influenced by the organisation's business strategy.

Considering a phenomenological research design, this study adopted semi-structured interviews as a means to gather qualitative data from a purposive sample comprising HR professionals. The collected data were subjected to thematic analysis, enabling the identification of recurring themes and patterns. Findings and conclusions were subsequently derived in accordance with the outcomes of the thematic analysis.

The study revealed that the significance, nature, challenges and ways of implementation of employer branding strategies vary depending on the type of business strategy adopted by the organisation. While organisations pursuing a differentiation strategy heavily invest in employer branding and placing considerable efforts into developing an appealing employee value proposition, companies pursuing cost leadership invest relatively less in employer branding by implementing cost-effective tactics. Companies implementing a focus strategy demonstrate a moderate level of investment in employer branding initiatives.

The study is limited to IT, manufacturing and banking sectors only. Additionally, the sample of the study is limited.

Employer branding as a strategy has been widely explored in the recent past. Similarly, Michel Porters’ generic strategies have also been widely researched. However, the interconnection between these two levels of strategies presents novel perspectives for business strategists and HR professionals involved in the formulation and implementation of HR strategies. This linkage provides valuable insights that facilitate effective decision-making in relation to employer branding strategies, enabling organisations to prioritise their objectives more effectively.

The existing literature lacks research that investigates the connection between employer branding strategy and business strategy. Hence, this study represents a pioneering effort that aims to explore this unexplored linkage. Further, this research effort has also uncovered previously uninvestigated findings concerning the comparative analysis of employer branding strategies across different sectors while examining the connection between business strategy and employer branding strategy.

The study aims to investigate the impact of industrial robot application on corporate labor cost stickiness and labor investment efficiency in China.

Using the textual analysis to construct firm-level industrial robot application indicators in China, we implement the methodology in Anderson et al. (2003) and Banker and Byzalov (2014) to estimate cost stickiness.

We argue that the industrial robot uses in China would increase firms’ labor adjustment costs by increasing the employment scale and upgrading the employment structure (i.e. by employing more high-skilled and high-educated labor). Consistent with our expectation through the channel of labor adjustment costs, the use of robotics increases firms’ labor cost stickiness. We further find that the positive impact is more significant among labor-intensive industries, and among state-owned enterprises with lower labor adjustment flexibility. We also find that industrial robot uses do not decrease the labor cost stickiness even when robots are more likely to substitute labor. Finally, we find that industrial robot uses significantly facilitate more efficient hiring practices by mitigating overinvestment in labor (i.e. over-hiring).

Against the backdrop of intelligent manufacturing worldwide, our study sheds new insight into the effects of new technologies on corporate labor cost behavior in developing countries. We contribute to scant studies examining how robotics, AI adoption or other automation technologies (e.g. specialized machinery, software, etc.) affect corporate cost behavior.