Search results

The present research aims to understand how and why flexible work arrangement (FWA) policy use by co-workers affects policy non-users by investigating perceived changes to work, fairness and organizational identification as factors that shape policy non-users’ job satisfaction.

A survey was distributed to 300 Canadian respondents solicited from an online panel owned by Qualtrics Inc. Hypotheses were developed and tested using a moderating mediation model. SPSS Macro Process (Hayes) was used to test the hypotheses.

This survey found that perceiving negative changes to work stemming from co-worker FWA use corresponded to policy non-user job satisfaction, fairness dimensions mediated this effect and organizational identification moderated the relationship driven by interactional fairness. Policy non-users who care most about organizations seem to be most vulnerable to the negative consequences associated with co-worker FWA policy use.

FWA use has been linked to many positive outcomes for policy users. However, the workplace adjustments that occur to accommodate policy use by co-workers could also have implications for policy non-users. This study explores the effects of FWA policy use by co-workers on policy non-users job satisfaction.

The purpose of this paper is to investigate consumer motivation to maintain brand attachment when faced with brand transgressions. This study investigated consumer motivation to maintain brand attachment when faced with brand transgressions.

This study consisted of two experiments using student participants (n1 = 383 and n2 = 535) who examined how, from a customer prioritization strategy, perceived value- and image-based transgressions affect the motivation to maintain brand attachment and subsequent behaviors. Hypotheses were developed and tested using moderating mediation models that included attribution of blame and perceived threat.

Value- and image-based transgressions interacted to affect the motivation to maintain brand attachment and the consequent behavioral intentions among consumers with strong brand attachment. Generally, the interaction had a negative effect on motivation to maintain brand attachment; however, this effect was mediated through perceived threat and moderated by attributions of blame. Depending on the level of motivation to maintain brand attachment and the attribution of blame for the brand transgression (the brand, self- or noncontrollable factors), participants reflected different behavioral intentions: reengagement, contention and/or avoidance. Overall, severe value-based transgression coupled with absence (vs presence) of image-based transgression were perceived more threatening by consumers with strong brand attachment leading to lower motivation to maintain attachment and higher intentions to dissolve the relationship.

Little is known about the conditions that increase or decrease the motivation of strongly attached consumers to maintain their attachment. To the best of the authors’ knowledge, this is the first study to explore the potential effects of brand transgressions on the motivation to maintain brand attachment and the consequent behavioral intentions stemming from perceived transgressions.

This paper investigates whether changes in autonomy and embeddedness in host locations by foreign owned subsidiaries are associated with improvements in performance by subsidiaries. The results provide evidence that increasing operational decision‐making autonomy is associated with enhanced performance as measured by both subjective and more objective measures of performance. The results on the importance of increasing strategic decision‐making autonomy and embeddedness are less clear, with improved performance being detected in some cases, but only for the subjective measure of performance.

The purpose of this paper is to investigate the drivers of visitation intention, including demographic, psychographic (animosity, national attachment and consumer ethnocentrism) and image factors on tourist decision-making in a situation of bilateral conflict between the destination country and the source country, that is, the USA and Russia, respectively.

The data were collected at two different points in time from two different samples but analyzed with the same research question in mind. To increase the robustness and validity of findings, three analytical approaches from the repertoire of statistics and data mining techniques such as hierarchical linear regression, logistic regression and decision tree analysis were applied to two independent samples of tourists with different demographic profiles. This multiple methods research employs a complementary design, as methods used have equal importance and are applied concurrently.

The paper obtained generally consistent results across methods and samples: general animosity, destination image and country image are the most influential factors in the tourists’ decision-making to visit a destination country with which their own country has strained bilateral relations.

Destination image is highly important in all analyses and is more favorable than country image. It indicates some degree of separation of the two images in the respondents’ mind, which indicates that marketing a country as a tourist destination on a not-so-friendly tourism market may still be effective. Results also tentatively indicate that for young adults, patriotic feelings matter more in their decision-making, while for more mature tourists, ethnocentric tendencies play a more important role.

The paper examines the influence of general and situational animosity, national attachment, and consumer ethnocentrism on visitation intentions in a situation of conflict between the two nations and, thus, expands the empirical evidence accumulated to date on tourist behavior in conflict. The paper acts on the premise that if a connection between any two variables truly exists, it should be able to withstand variations in samples, timing of data collection and measurement, thus, leading to more robust findings.

The purpose of this paper is to determine how customers from different market segments assess the quality of freight forwarding services, depending on the structure of services, as well as the mutual relation between the freight forwarder and the customers.

The research is based on the SERVQUAL model and surveys. The methodology for measuring the quality of logistics services in freight forwarding companies is developed. On the basis of the proposed methodology, the empirical research was conducted. The study includes 120 logistics professionals dealing with import and export trade flows who thereby use the services of freight companies. The verification of the SERVQUAL instrument, results and hypotheses are conducted using the factor analysis and ANOVA.

The results show that logistics service quality (LSQ) of freight forwarding companies in Serbia is not at a satisfactory level. Different market segments evaluate the level of quality of service in a different way. Also, customer exceptions and the level of quality depend on the structure of services, as well as the mutual relation between the freight forwarder and the customers.

Empirical research and the results are limited to the Serbian market, and only one measurement tool.

The procedure and results of the research have practical applications and set the basis for the improvement of forwarding and logistics services.

This is one of the first papers dealing with the LSQ of freight forwarding companies in Serbia. Generally, the developed approach can be successfully applied on other markets, which adds value to this paper. New research hypotheses are developed and tested. In that manner, this paper makes contribution in measuring and improving the LSQ.

The paper aims to studiy social recruiting for finding suitable candidates on social networks. The main goal is to develop a methodological approach that would enable preselection of candidates using social network analysis. The research focus is on the automated collection of data using the web scraping method. Based on the information collected from the users' profiles, three clusters of skills and interests are created: technical, empirical and education-based. The identified clusters enable the recruiter to effectively search for suitable candidates.

This paper proposes a new methodological approach for the preselection of candidates based on social network analysis (SNA). The defined methodological approach includes the following phases: Social network selection according to the defined preselection goals; Automatic data collection from the selected social network using the web scraping method; Filtering, processing and statistical analysis of data. Data analysis to identify relevant information for the preselection of candidates using attributes clustering and SNA. Preselection of candidates is based on the information obtained.

It is possible to contribute to candidate preselection in the recruiting process by identifying key categories of skills and interests of candidates. Using a defined methodological approach allows recruiters to identify candidates who possess the skills and interests defined by the search. A defined method automates the verification of the existence, or absence, of a particular category of skills or interests on the profiles of the potential candidates. The primary intention is reflected in the screening and filtering of the skills and interests of potential candidates, which contributes to a more effective preselection process.

A small sample of the participants is present in the preliminary evaluation. A manual revision of the collected skills and interests is conducted. The recruiters should have basic knowledge of the SNA methodology in order to understand its application in the described method. The reliability of the collected data is assessed, because users provide data themselves when filling out their social network profiles.

The presented method could be applied on different social networks, such as GitHub or AngelList for clustering profile skills. For a different social network, only the web scraping instructions would change. This method is composed of mutually independent steps. This means that each step can be implemented differently, without changing the whole process. The results of a pilot project evaluation indicate that the HR experts are interested in the proposed method and that they would be willing to include it in their practice.

The social implication should be the determination of relevant skills and interests during the preselection phase of candidates in the process of social recruitment.

In contrast to previous studies that were discussed in the paper, this paper defines a method for automatic data collection using the web scraper tool. The described method allows the collection of more data in a shorter period. Additionally, it reduces the cost of creating an initial data set by removing the cost of hiring interviewers, questioners and people who collect data from social networks. A completely automated process of data collection from a particular social network stands out from this model from currently available solutions. Considering the method of data collection implemented in this paper, the proposed method provides opportunities to extend the scope of collected data to implicit data, which is not possible using the tools presented in other papers.

The purpose of this paper is to identify technological challenges and innovative solutions in each of the food production philosophies in the food service sector, namely: industrial cuisine, fast food and fresh food.

The paper reviews industry reports on cooking equipment and preparation techniques. Conceptual links are made with possible future developments as well as operational/strategic advantages they represent.

Innovation in food preparation commands multi‐disciplinary approaches stemming from engineering and food science. Industrial cuisine would benefit from automation, units with intensive heating, robust food product design and shelf‐life extension; fast food from reduced oil absorption by food, better cooking oils, automation and short frying time; and fresh food from rapid cooking, visually appealing serving units and analytical instrumentation for testing raw produce. Future innovations may originate in the field of robotics, food engineering and laboratory equipment design including miniaturisation and portability of units. Sophistication in product development can be achieved through application of the principles of molecular gastronomy in combination with computer modelling.

Managers can conceptualise their operations in terms of the philosophies presented in the paper. Technological innovation is critical to sustain competitiveness (cost leadership and differentiation). The list of underpinning disciplines in food production can be used by educators wishing to enhance their programs with fundamentals supporting innovation.

Food preparation philosophies are presented in the light of impacts on food sensory and microbiological quality, nutritional value and operational efficiencies. The possibilities for future innovation stemming from developments in other technologically advanced fields are identified.

The utterly un-nostalgic person is probably a non-existent being. At both a personal and collective level, we explore how nostalgia is experienced and in demand during times of transition, disjuncture, conflict and uncertainty. This chapter explores the emotion of nostalgia and connects it specifically to the current corona pandemic – the challenges of lockdowns and social distancing measures on interaction, feelings of loneliness and a generalised sense of uncertainty and despair, and also a rise of nostalgia as a possible response to these challenges. The predominant view of nostalgia put forth in this chapter is that nostalgia has the capacity to provide a great deal of benefit (meaning, hope, direction and purpose) to individuals, groups, institutions and societies at large. Indeed, nostalgia can be a tranquil feeling in a fearful world. We relate nostalgia to studies and experiences from the pandemic period and speculate on how the so-called ‘corona crisis’ may impact feelings of nostalgia in the post-pandemic world – perhaps even a nostalgia and longing for the pandemic period itself.

If the corona pandemic has in fact sparked a new (or renewed) interest in nostalgia in contemporary society due to the corona pandemic, it may indeed prove to be a positive thing, particularly if it makes it easier for people to deal with current feelings of adversity and anxiety. We suggest the nostalgia mood that is generated and perpetuated by the continuing twists and turns of the corona pandemic may – in the short and long run – prove useful in coping with and giving meaning to the problems and perplexing circumstances of life, rather than being a regressive phenomenon. Perhaps, something good may, in the end, grow from something bad?