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The purpose of this study was to develop and test a research model that explored leader psychological capital (LPsyCap) as a predictor of follower creative performance (FCRP). The model also investigated follower job crafting (FJC) and follower knowledge collecting (FKC) and follower knowledge donating (FKD) behaviors as the multiple mediators of the trickle-down effect of LPsyCap on FCRP in a sequential manner.

Data were obtained from hotel employees in Korea. The hypotheses were tested using structural equation modeling with the user-defined estimands function.

LPsyCap boosted employees’ FCRP. FJC and FKC behaviors mediated the trickle-down effect of LPsyCap on FCRP in a sequential manner. As predicted, FKC behavior parallelly mediated the effect of FJC on FCRP.

Hotel firms should boost a workplace that would encourage employees to redefine and redesign their jobs. To achieve this, the presence of structural (e.g. learning new things in the workplace) and social (e.g. supervisor coaching) job resources and challenging job demands (e.g. willingly taking on additional tasks) would pay dividends.

This paper is one of its kind focusing on unexplored parallel and sequential multiple mediation effects that highlight FJC and FKC as the two potential mediators in the association between LPsyCap and FCRP.

The goal of the Convention on the Rights of Persons with Disabilities (CRPD) is to secure the rights of persons with disabilities as full and equal members of society. Achieving these objectives requires appropriate and high-quality data for identifying disability gaps and areas of exclusion. Such data can be then used to develop policies and programmes to address that exclusion, and then to monitor and evaluate their effectiveness. However, researchers and policy makers face a number of challenges when collecting this data. This chapter reviews the various approaches to collecting data on disability, identifying potential sources of relevant data, including through surveys and repurposing of data collated for administrative means. It discusses at length the legal and ethical issues involved in their collection and use for alternative purposes, providing a comprehensive exploration of issues relating to participation, privacy, big data and rights of access. It concludes by suggesting ways forward for creating disability data systems that can fully support efforts to achieve a fully inclusive society.

This review article is focused on the following research questions: RQ1: What are the methods used by authors to collect data in order to evaluate one's profile? RQ2: What are the classification algorithms and ranking metrics used to give suggestions to users? RQ3: How effective are these algorithms and metrics identified in RQ2?

There are four major systematic review phases being carried out in this survey, namely the formulation of research questions, conducting the review, which includes the selection of articles and appraising evidence quality, data extraction and narrative data synthesis.

Collecting from primary sources is more personalized and relevant. Embedded skill sets that have a considerable impact on one’s career aspirations could be mined from secondary sources. A hybrid recommender system helped mitigate the limitations of both. The effectiveness of the models depends not only rely on the filtering techniques used but also on the metrics used to measure similarity and the frequency of words or phrases used in a document.

The study benefits internship program coordinators of a university aiming to develop a recommender or matching system platform for their students. The content of the study may shed a light on how university decision-makers can explore options on what are the techniques or algorithms to be integrated. One of the advantages of internship or industrial training programs is that they would help students align them with their career goals. Research studies have discussed other RS filtering techniques apart from the three major filtering techniques.

The outcome of the study, which is a recommendation system to match a student's profile with the knowledge and skills being sought by organizations, may help ease the challenges encountered by both parties. The study benefits internship coordinators of a university who are planning to create a recommendation system, an innovative project to be used in teaching and learning.

Internship programs can help a student grow personally and professionally. A university student looking for internship opportunities can find it a daunting task to undertake, as there is a vast pool of opportunities offered in the market. The confidence levels needed to match their knowledge, skills and career goals with the job descriptions (JDs) could be challenging. The same holds with companies, as finding the right people for the right job is a tough endeavor. The main objective of conducting this study is to identify models implemented in recommendation systems to give and/or rank suggestions given to users.

While surveys regarding recommender systems (RS) exist, there are gaps in the presentation of various data collection methods and the comparison of recommendation filtering techniques used for both primary and secondary sources of data. Most recommendation systems for internship programs are intended for European universities and not much for Southeast Asia. There are also a limited number of comparative studies or systematic review articles related to recommendation systems for internship programs offered in an Southeast Asian landscape. Systematic reviews on the usability of the proposed recommendation systems are also limited. The study presents reviews of articles, from data collection and techniques used to the usability of the proposed recommendation systems, which were presented in the articles being studied.

The purpose of this study is to develop nature-inspired 3D surfaces for atmospheric water harvesting.

Initially, cylindrical-shaped protrusions were produced utilizing a 3D printer to obtain a surface with a high surface area. Subsequently, an electrospraying technique was employed to coat the tips of these hydrophobic protrusions with hydrophilic nano-scale particles and fibers, utilizing polyamide 6 (PA6) or PA6/chitosan (CH) blends. In the next stage of the study, the impact of protrusion shape was investigated by fabricating surfaces with cylindrical, conical and tree-shaped protrusions. Following the production of 3D surfaces, PA6 was electrosprayed onto the protrusions to achieve varied wettability patterns on the 3D surface. Finally, the water collection rates and capacities of the surfaces were evaluated.

Water collection tests demonstrated that PA6-coated surfaces exhibited greater water collection capacity compared to untreated surfaces. Furthermore, the addition of CH enhanced the water collecting efficiency of the 3D surface. It was found that the shape of the protrusions significantly influenced water collection capacity. Particularly, cone-shaped protrusions exhibited the highest water collecting capability among the different shapes tested.

In this study, 3D printing and electrospraying techniques were combined to create 3D surfaces characterized by high surface area, along with hydrophilic and hydrophobic regions to produce superior surfaces for atmospheric water harvesting.

The purpose of this study is to formulate a new class of vehicle routing problem with an objective to minimise the total cost of raw material collection and derive a new approach to solve optimization problems. This study can help to select the optimum number of suppliers based on cost.

To model the raw material vehicle routing problem, a mixed integer linear programming (MILP) problem is formulated. An interesting phenomenon added to the proposed problem is that there is no compulsion to visit all suppliers. To guarantee the demand of semiconductor industry, all visited suppliers should reach a given raw material capacity requirement. To solve the proposed model, the authors developed a novel hybrid approach that is a combination of block and edge recombination approaches. To avoid bias, the authors compare the results of the proposed methodology with other known approaches, such as genetic algorithms (GAs) and ant colony optimisation (ACO).

The findings indicate that the proposed model can be useful in industries, where multiple suppliers are used. The proposed hybrid approach provides a better sequence of suppliers compared to other heuristic techniques.

The data used in the proposed model is generated based on previous literature. The problem derives from the assumption that semiconductor industries use a variety of raw materials.

This study provides a new model and approach that can help practitioners and policymakers select suppliers based on their logistics costs.

This study provides two important contributions in the context of the supply chain. First, it provides a new variant of the vehicle routing problem in consideration of raw material collection; and second, it provides a new approach to solving optimisation problems.

In the recent few decades, there has been a rampant increase in the demand of sustainable food products around the world because of high cognizance of consumers toward environment and health. Asian countries, especially India and China, are also expecting a tremendous boost in the domestic demand for organic food products in the upcoming few years. Therefore, it becomes pertinent to explore the factors affecting the purchase intention behavior of organic food items, especially in emerging economies, i.e. India. Hence, the paper aims to explore the factors driving the purchase decision of organic consumers by collecting data set from 603 organic food item consumers in India.

The study has applied advanced statistical tools, i.e. structural equation modeling, Harman’s single factor test and other statistical measures, to analyze the collected research data.

The results posit that consumers’ purchase intention has a favorable impact on health aspects; trustworthiness; social innovativeness; functional value; subjective norms and organic product knowledge. Moreover, the result explicates that health consciousness and trustworthiness are vital predictors of organic food purchase intention.

The findings may assist the producers, processors, marketers, policymakers and regulators in devising appropriate policies and strategies for comprehending the complex phenomenon of organic consumers’ purchase behavior.

To the best of the authors’ knowledge, this is the first study to explore the drivers of purchase intention of organic food items by collecting data from well-defined consumers of organic food items in India.

Today's museums seek to be more representative of the social diversity of the communities they serve. Their intention is reflected not only in the exhibitions and public programs they offer, but also in the development of their collections and their uses. The colonial origins of the collections and the gaps in the major art historical narratives that have provided their primary interpretations are more widely recognized. Several recent initiatives are revisiting, for inclusion purposes, the principles of exemplarity, uniqueness, internal organization, and material integrity on which acquisition and its valorization were until recently based. This chapter considers current initiatives undertaken over the past 10 years by the Musée d'art contemporain de Montréal, the Montreal Museum of Fine Arts, the National Gallery of Canada, and the Musée national des beaux-arts du Québec, in the development and use of their collections. It is done by taking as support three strategies established by Maura Reilly (2018) to foster inclusion in exhibitions. These three strategies – areas of study, revisionism, polylogue – are loosely adapted for collections. The four museums were selected for (1) the interest of their initiatives, (2) the complementarity of these institutions, in terms of collecting scope (contemporary, national, or “encyclopedic”), institutional status (major museums, two provincial, one federal, one nonprofit) and location (in major cities, metropolis, or capital city), and their partnership in the “New Uses of Collections in Art Museums” Partnership (SSHRC 2021–2028) of the CIÉCO Research and Inquiry Group. This portrait, through the collections of four institutions, is paradigmatic of a fundamental transformation in Canadian art museums.

Running advertising campaigns and attracting the traffic, as well as collecting information from users who have entered the website once, provides the conditions to perform retargeting campaigns and consequently increases website visit rates and sales. The purpose of this research is to design a roadmap of retargeting campaign for small and medium enterprises (SMEs), as well as to compare normal and retargeting advertising campaigns in order to confirm the effectiveness of retargeting campaigns.

A single-case-study strategy was adopted by choosing advertising Company-X to design the roadmap of retargeting campaigns and evaluate its effectiveness. Using a purposive sampling, semi-structured interviews were conducted with 14 experts of advertising Company-X. Furthermore, the documents and reports available in the company were also analyzed. Thematic analysis was employed to analyze the interviews and documents. Next, a one-way ANOVA test and a two-sample t-test were used to measure the effectiveness of retargeting campaigns of the Company-X compared to normal campaigns with secondary data of 22 SMEs for a six-month period.

The qualitative phase led to the presentation of a roadmap for the retargeting campaigns in three stages: preparation, process and implementation. The results of the quantitative phase revealed that the ratio of clicks to impressions (click-through rate) and the ratio of successful purchase tags to clicks (conversion rate) are much higher in the retargeting product campaign. Therefore, the performance of selected SMEs as an example in the product retargeting campaign was better than that of the non-retargeting campaigns. Also, the ratio of cost to the successful purchase tag was higher for the product retargeting campaigns.

This study contributes to the literature of retargeting. First, this study provides SMEs with a successful roadmap for retargeting campaigns. Second, this research reveals the effectiveness and mechanism of retargeting for SMEs.

Recent calls in international management (IM) research ask scholars to conduct more context-sensitive research, however; little attention has been paid to the methodological particularities that inform such context sensitivity. This paper aims to addresses this shortcoming by exploring how emic concepts implicate IM research processes during qualitative field studies.

We carried out ethnographic fieldwork in Brazilian subsidiaries of three German multinational enterprises. We relied on the researchers’ experiences and data from a larger research project including 63 semi-structured interviews, 7 focus groups, documents and field notes. Adopting a culturally sensitive and self-reflexive lens, we reflect on the researchers’ experiences in the Brazilian sociocultural context from an interpretive paradigm.

Our findings reveal how seven identified emic concepts affect four prototypical phases of the research process: securing access, collecting data, analyzing data and presenting findings. We discuss how these seven emic concepts influenced the research process and impacted research outcomes, as experienced by the researchers.

Findings are limited by our self-reflexive capabilities as foreign researchers, the limited explanatory power of emic categories, our paradigmatic positioning and the research context.

We contribute to research practice by providing eight suggestions for conducting international fieldwork and proposing avenues for future research.

This research contributes to the epistemological and methodological debate on context-sensitive research by arguing that intercultural sensitivity needs to be managed as an integral dimension for any form of international fieldwork. Findings contribute to interpretive approaches showing how emic concepts affect research practices, with implications for critical management perspectives.

The present study investigates the customers' behavioural intention to use voice-based artificial intelligence (AI) to find the appropriate hotels and resorts in an emerging nation. This study determines the influences of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to obtain the appropriate information and find the location of the hotels and resorts.

This study used a purposive sampling method for collecting data from the respondents, who are customers of the hotels and resorts in Bangladesh. A self-administered survey questionnaire was used to obtain responses from 378 respondents. After collecting the data, the reliability and validity of the constructs and hypotheses were tested via partial least squares structural equation modelling (PLS-SEM).

The findings of the study indicate that information quality, system quality, privacy and novelty value have a positive and significant impact on attitude and behavioural intention to use voice-based AI assistant services in an emerging nation. However, system quality does not significantly influence behavioural intention to use voice-based AI assistant but it has an indirect significant influence on behavioural intention through the mediation effect of attitude.

The study’s findings provide essential guidelines for practitioners to understand the impacts of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to find the appropriate hotels and resorts to meet customers' needs and expectations.

This study contributes to the existing literature on technology adoption by highlighting the interconnectedness of various factors influencing users' behavioural intentions. The study’s focus on an emerging nation provides a valuable theoretical contribution. It highlights that user perceptions and attitudes towards technology adoption may differ from those in developed nations due to unique contextual factors.