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The study identifies the gap in the understanding of how employee resistance to change (RTC) could impact different stages of the process of innovation. To address this research gap, the paper introduces a new model, which theorizes three moderating effects of RTC on the different elements of absorptive capacity (ACAP).

This study empirically tests the proposed model, using survey data collected from healthcare organizations in the United States of America.

First, the study reveals that RTC could damage the critical “connectedness” between potential absorptive capacity (PACAP) and realized absorptive capacity (RACAP), thus limiting the organization's ability to exploit new knowledge. Second, the findings also reveal that RTC can reduce the positive effect of acquisition (ACQ) on assimilation – the function responsible for decoding the meaning and for assimilating new valuable information incoming from the market.

Research limitations of this study are discussed further.

The paper presents specific practical implications for managers.

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This paper advances past research and practice by revealing two new mechanisms. When employees resist new changes initiated in the organizations, the resistance of employees will hinder the process of innovation in the following ways. (1) At the beginning of the process, employees can oppose and reject new valuable ideas incoming from the market. (2) At the stage of the implementation, such employees can engage in behavior that will weaken the organization's ability to successfully implement new process improvements that could otherwise increase organizational effectiveness.

For decades, conflict resolution (CR) educators working cross-culturally have struggled with a fundamental dilemma – whether to offer western, evidence-based approaches through a top-down (prescriptive) training process or to use a bottom-up (elicitive) strategy that builds on local cultural knowledge of effective in situ conflict management. This study aims to explore which conditions that prompted experienced CR instructors to use more prescriptive or elicitive approaches to such training in a foreign culture and the implications for training outcomes.

There are two parts to this study. First, the authors conducted a literature review to identify basic conditions that might be conducive to conducting prescriptive or elicitive cross-cultural CR training. The authors then tested the identified conditions in a survey with experienced CR instructors to identify different conditions that afforded prescriptive or elicitive approaches. Exploratory factor analysis and regression were used to assess which conditions determined whether a prescriptive or elicitive approach produced better outcomes.

In general, although prescriptive methods were found to be more efficient, elicitive methods produced more effective, culturally appropriate, sustainable and culturally sensitive training. Results revealed a variety of instructor, participant and contextual factors that influenced whether a prescriptive or elicitive approach was applied and found to be more suitable.

This study used empirical survey data with practicing experts to provide insight and guidance into when to use different approaches to CC-CR training effectively.

The aim of this paper is to better understand European consumers' behaviour in relation to Short Food Supply Chains (SFSCs), so as to provide insights to support their development as part of a sustainable food system. Specifically, it aims to analyse consumer purchase patterns, motivations and perceived barriers and to identify patterns of behaviour amongst different consumer groups.

An online consumer survey was conducted in 12 European countries (n = 2,419). Quantitative data analysis, including principal component analysis (PCA) and cluster analysis, was undertaken using SPSS.

Four consumer clusters are named according to their behavioural stage in terms of SFSC engagement: Unaware Unengaged, Aware Unengaged, Motivationally Engaged and Executively Engaged. Unaware Unengaged and Aware Unengaged are in the non-engagement phase of behaviour. Motivationally Engaged are motivationally activated to engage in the behaviour but fail to do so consistently. Executively Engaged is the fully engaged cluster, being motivated to act and purchasing local food on a frequent basis. The results show an interesting interplay between motivations and barriers, i.e. higher scores for motivations and lower scores for barriers do not necessarily translate into higher purchase frequency.

The research gleans insights into the contextual factors that may inhibit SFSC purchases in different consumer segments. It offers practical implications for policymakers and others seeking to develop SFSCs as part of a sustainable food system.

This study aims to conduct a bibliometric analysis on “intertemporal choice” behavior of individuals from journals in the Scopus database between 1957 and 2023. The research covered the data on the said topic since it first originated in the Scopus database and carried out performance analysis and content analysis of papers in the business management and finance disciplines.

Bibliometric analysis, including science mapping and performance analysis, followed by content analysis of the papers of identified clusters, was conducted. Three clusters based on cocitation analysis and six themes (three major and three minor) were identified using the bibliometrix package in R studio. The content analysis of the papers in these clusters and themes have been discussed in this study, along with the thematic evolution of intertemporal choice research over the period of time, paving a way for future research studies.

The review unpacks publication and citation trends of intertemporal choice behavior, the most significant authors, journals and papers along with the major clusters and themes of research based on cocitation and degree of centrality and relevance, respectively, i.e. discounting experiments and intertemporal choice, impulsivity, risk preference, time-inconsistent preference, etc.

Over the past years, the research on “intertemporal choice” has flourished because of the increasing interest of researchers and scholars from different fields and the dynamic and pervasive nature of this topic. The well-developed and scattered body of knowledge on intertemporal choice has led to the need of applying a bibliometric analysis in the intertemporal choice literature.

The brand identity–image gap is a well-known marketing field. However, very little academic work has been done within the wine industry regarding collective brands. With the aim of filling this gap, this paper analyzes and describes the relationship between identity and the image of Bordeaux wines. It is intended as a collective wine brand.

From a positivist–functionalist perspective, a 45-question survey has been administered online to N = 53 internal brand operators (winery owners or managers) and to N = 655 external consumers (mainly focusing on 18–25 year-old segment). Nonprobabilistic sampling techniques have been used. Questions were structured within a semantic opposition.

Data analysis has shown that the nine-dimension model (physical, personality, culture, self-image, reflection, relationship, positioning, vision and heritage) is capable of collecting a richer and more pertinent set of information concerning the brand identity; statistically significant gaps have been found in 25 out of 45 items; counterintuitively, the consumers have a very different opinion about the brand compared with existing ideas. Direct implications are that internal brand operators may suffer from imposter syndrome; information asymmetry may play a central role in brand perception; and the brand lacks symbolic and inspirational functions.

Providing an original model to analyze and evaluate the brand identity–image gap, specifically adapted for collective wine brands, this work contributes to the literature by increasing the knowledge about brand identity issues.

Amidst compounding crises and increasing global population’s nutritional needs, food supply chains are called to address the “diet–environment–health” trilemma in a sustainable and resilient manner. However, food system stakeholders are reluctant to act upon established protein sources such as meat to avoid potential public and industry-driven repercussions. To this effect, this study aims to understand the meat supply chain (SC) through systems thinking and propose innovative interventions to break this “cycle of inertia”.

This research uses an interdisciplinary approach to investigate the meat supply network system. Data was gathered through a critical literature synthesis, domain-expert interviews and a focus group engagement to understand the system’s underlying structure and inspire innovative interventions for sustainability.

The analysis revealed that six main sub-systems dictate the “cycle of inertia” in the meat food SC system, namely: (i) cultural, (ii) social, (iii) institutional, (iv) economic, (v) value chain and (vi) environmental. The Internet of Things and innovative strategies help promote sustainability and resilience across all the sub-systems.

The study findings demystify the structure of the meat food SC system and unveil the root causes of the “cycle of inertia” to suggest pertinent, innovative intervention strategies.

This research contributes to the SC management field by capitalising on interdisciplinary scientific evidence to address a food system challenge with significant socioeconomic and environmental implications.

This research studies femvertising social marketing impact on their perceived congruence and authenticity; and attitudes toward female role portrayal cross-gender.

This research used deductive quantitative research approach. Data were gathered during a sports event in Egypt made to support female empowerment; a local sports organization hosted 8K Women Race on February 26, 2022, applying a cross-sectional timeframe. The researcher approached both male and female segments with an administrated questionnaire to fill out through convenience sampling. Structural equation modeling path coefficient analysis was used to test the hypotheses.

The research shows femvertising perceived congruence is insignificant cross-gender; femvertising perceived authenticity is significant to female segment, not the male segment; femvertising impacts female portrayal among male segment and female segment.

The conclusions could be reference for stakeholders who have interest in women empowerment marketing strategies as brand activism; companies that look toward femvertising as effective tactic to enhance affirmative attitude and build an empowered female customer base. The results indicate that marketers can benefit from adapting a more mindful approach to the portrayal of females used in advertising.

The addition of a cross-gender perspective on femvertising (as brand activism) is a key contribution to this literature. This study adds knowledge on the how perceived congruence and authenticity of the advertising can impact significantly attitude toward women empowerment; when brands promote social matters, their underpinning motives are under microscope among consumers, and adverse attributions can hinder brand performance as consumers may not believe the brands when they engage in the activism.

AI-based chatbots are revamping employee communication in organizations. This paper examines the adoption of AI-based employee experience chatbots by employees.

The proposed model is developed using behavioral reasoning theory and empirically validated by surveying 1,130 employees and data was analyzed with PLS-SEM.

This research presents the “reasons for” and “reasons against” for the acceptance of AI-based employee experience chatbots. The “reasons for” are – personalization, interactivity, perceived intelligence and perceived anthropomorphism and the “reasons against” are perceived risk, language barrier and technological anxiety. It is found that “reasons for” have a positive association with attitude and adoption intention and “reasons against” have a negative association. Employees' values for openness to change are positively associated with “reasons for” and do not affect attitude and “reasons against”.

This is the first study exploring employees' attitude and adoption intention toward AI-based EEX chatbots using behavioral reasoning theory.