Search results

This paper aims to illustrate the application and effectiveness of a marketing programme co-designed by supply- and demand-side stakeholders to reduce consumer food waste in restaurants.

This stakeholder-based marketing pilot study adopted the co-create, build and engage framework for programme design and implementation. Major stakeholders, interacting at the point-of-sale, participated in a series of focus groups, interviews and co-design. The research process informed the marketing mix, which aimed to provide value for all parties. The four-week pilot programme was delivered in a non-buffet-style commercial restaurant chain for 10 months. The amount of consumer food leftovers was measured and compared with pre-programme baseline data to evaluate programme effectiveness.

The results show that the marketing mix co-designed by restaurant stakeholders and consumers effectively reduced food waste by almost half in the pilot period. The profitability of the pilot restaurant increased as food costs decreased.

This research demonstrates how working with stakeholders from both the supply and demand sides can identify motivations and barriers. Insights gained in the research phase can inform the delivery of a marketing mix that reduces consumer food waste. This study demonstrates the marketing research, design, implementation and evaluation process for a marketing programme that reduced consumer food waste.

To effectively reduce consumer food waste, practitioners should not only focus on changing consumers’ behaviour. Co-designing solutions with food service stakeholders to address business and operation challenges is crucial to the attainment of a positive impact at the point-of-sale.

This research shows how marketing changes behaviour in individuals and business entities, contributing to positive environmental impact through waste reduction in the commercial food service sector.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

This research paper aims to explore whether and how perceived corporate social responsibility (CSR) influences employee-associated outcomes in ways that are controllable by managers. Drawing from the theories of self-determination and social identity, this study investigates the mediating effects of psychological needs fulfillment and organizational identification in exploring the mechanisms that link perceived CSR to employee job performances of Chinese state-owned tourism companies.

Survey was used to collect original data from ten Chinese state-owned tourism companies to examine the proposed model. Data was analyzed through structural equation modeling.

Employees’ perceptions of CSR are found to demonstrate significantly effective associations with their job performance. Moreover, results support that the influences of CSR on staff’s job performance are also conveyed through psychological needs fulfillment (competence) and organizational identification (i.e. cognitive identification and affective identification).

Findings not only provide strategic ideas and operational tactics for tourism managers to devise CSR strategies and allocate CSR resources but also offer inspirations to integrate CSR initiatives with human resource management strategies.

This study diverts the research of CSR from the organizational level to the individual level. This study also explores the mechanism of psychological needs fulfillment and organizational identification underlying processes in the employee perceptions of CSR–job performance linkages.

Advances in technology and the popularity of social media influencers have sparked a rise of “virtual influencers (VIs).” This study examines consumer attitudes toward VIs in social networking services and explores factors that enhance or dampen these attitudes. In three experiments, it was explored how contextual factors (background and companion) interact with human (HIs) and VIs, influencing attitudes through trustworthiness.

Three experiments were conducted using an online panel (N = 894). All experiments were based on the comparison between HIs and VI with mediating role of trustworthiness. In Studies 2 and 3, moderated mediation analyses were conducted to test hypotheses.

The results revealed that human-like VI was less trusted than animi-like VI or HIs. However, the perceived trustworthiness toward VI was enhanced when the VI was in a virtual (vs. real) environment (Study 2) or accompanied by a virtual (vs. human) companion (Study 3), leading to positive attitudes.

This research not only enriches relevant literature (avatars and SMIs) but also provides actionable insight for practitioners who design and utilize VIs. This paper proposes novel and handy tactics to enhance consumers' trustworthiness in and attitudes toward VIs.

This paper aims to examine how high involvement HRM (HIHRM), technology adaptation and innovativeness influence employees to respond to technology innovation performance – that is, radical innovation performance and incremental innovation performance – in distinct ways.

The purposive judgmental sample technique is used to assess the perceptions of 545 IT employees in Bangladesh's ready-made garment (RMG) industry. The partial least square-structural equation modeling (SEM-PLS) method is applied to analyze and interpret the data.

Findings of the analysis show that HIHRM, technology adaptation and innovativeness influence employees to exhibit technology innovation performance. Furthermore, both technology adaptation and innovativeness show the significant mediating effects between HIHRM and technology innovation performance.

First, this study’s findings contribute to HIHRM and technology innovation performance within the context of the resource-based theory. Second, the RMG organizations would acknowledge the role of HIHRM on employee technology adaptability and innovation capability in this regard. A future study might point to the models' ability to create the best work environments, which can help organizations to boost employee productivity through adaptation and innovation.

The study would offer a distinctive perspective on higher-order HIHRM and how they affect IT employees in RMG organizations in Bangladesh that could be approached in other labor-intensive and developing nations. This study also expands the research on technology adaptation and innovativeness by exploring the mediating roles between HIHRM and employee technology innovation performance in the organization.

The study sheds light on the internal enabling factors towards emerging market (EM) small and medium-sized enterprises’ (SMEs) preparedness for Industry 4.0 (I4.0) using three dimensions: managerial, operational and technological readiness.

The study uses convenience sampling, having online and paper-based surveys and collecting 110 responses from manufacturing Malaysian SMEs. This sample allowed assessing the relationships of the hypothesized variables through the structural model of data analysis.

This study’s findings demonstrate that financial capability and perceived benefits enhance Malaysian SMEs' managerial, operational and technological readiness.

Using Malaysia's case, this paper extends the discussion of the key drivers that underline the decision of EM firms to adopt I4.0.

This study’s results provide valuable insights for policymakers to improve the digital ecosystem. Also, understanding critical drivers for I4.0 readiness would encourage SMEs in Malaysia to embrace new digital technologies.

Although digital transformation towards I4.0 for manufacturing SMEs would be decisive, little is known about how ready these Malaysian firms are to adopt it or the driving factors that motivate them. Meanwhile, inadequate readiness causes a high failure rate in implementing new technology, processes or organizational changes.

Strategic decisions leaders make involving organizational changes such as mergers and acquisitions (M&A), divestitures, and downsizing, which can influence and/or interact with other organizational factors. For example, within the context of M&A, changes impact financial performance, firm behaviors, and organizational culture. In addition, strategic decisions for these types of change can also interrelate with other more intrapersonal factors, including both leaders’ and employees’ health and well-being. Employee stress, also referred to as “merger syndrome,” outlines individual negative impacts of the changes including, but not limited to, cynicism and distrust, change wariness, and burnout, all accumulating to psychological effects including increases in detachment to work, stress, and sick leave. In this chapter, the authors outline the different impacts M&A phases have on stress and well-being and how they interrelate with the strategic decisions leaders make. The authors also outline future research opportunities and practical implications for how leaders and employees could better manage future major changes such as M&A activities.

This study aims to investigate how employee environmental performance (EP) is affected by socially responsible human resource management (SRHRM) via green knowledge sharing (GKS) and environmental commitment (EC).

Partial least squares-structural equation modeling was used to analyze data from 494 frontline employees of hotels.

The findings reveal that SRHRM influences employee EP, GKS and EC. SRHRM indirectly predicts individual EP through GKS and EC mediation. GKS and EC also have significant relationships with employee EP.

Hotels can use the findings of this study to develop effective strategies to promote employees’ positive responses to the environment and improve their organizational identification. Moreover, the current research enables the organization to recognize the importance of employees’ GKS and EC and capitalize on them.

This study links SRHRM to the individual EP level in the hotel industry. This study reveals the importance of EC and GKS as psychological mechanisms linking SRHRM and EP.

Sentiment analysis is a text analysis method that is developed for systematically detecting, identifying, or extracting the emotional intent of words to infer if the text expresses a positive or negative tone. Although this novel method has opened an exciting new avenue for organizational research – mainly due to the abundantly available text data in organizations and the well-developed sentiment analysis techniques, it has also posed a serious challenge to many organizational researchers. This chapter aims to introduce the sentiment analysis method in the text mining area to the organizational research community. In this chapter, the authors first briefly discuss the central role of sentiment in organizational research and then introduce the traditional and modern approaches to sentiment analysis. The authors further delineate research paradigms for text analysis research, advocating the iterative research paradigm (cf., inductive and deductive research paradigms) that is more suitable for text mining research, and also introduce the analytical procedures for sentiment analysis with three stages – discovery, measurement, and inference. More importantly, the authors highlight both the dictionary-based and machine learning (ML) approaches in the measurement stage, with special coverage on deep learning and word embedding techniques as the latest breakthroughs in sentiment and text analyses. Lastly, the authors provide two illustrative examples to demonstrate the applications of sentiment analysis in organizational research. It is the authors’ hope that this chapter – by providing these practical guidelines – will help facilitate more applications of this novel method in organizational research in the future.