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Article
Publication date: 28 February 2023

Tayfun Yörük, Nuray Akar and Neslihan Verda Özmen

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

Abstract

Purpose

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

Design/methodology/approach

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

Findings

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

Research limitations/implications

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

Originality/value

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 21 February 2024

Smita Chaudhry

The paper aims to conceptually identify the organizational conditions and therefore the possible areas of intervention, in the domains of work, growth potential and culture, which…

Abstract

Purpose

The paper aims to conceptually identify the organizational conditions and therefore the possible areas of intervention, in the domains of work, growth potential and culture, which would help the Generation Z workforce be more engaged, motivated and committed to the organization.

Design/methodology/approach

The paper adopts a typology methodology, taking into account the specific characteristics of Generation Z. It describes a conceptual framework, drawing on three fundamental aspects of social exchange theory in the context of workplace (organizational justice, organizational support and leader-member exchange), and applying them to three dimensions of organizational life (work, growth potential and culture).

Findings

The paper suggests certain organizational conditions, in the domains of work, growth potential and culture, which can align Generation Z workforce to the organization. It accordingly indicates desirable interventions in the areas of job design, training, performance and compensation systems, work policies, leadership and communication.

Originality/value

The paper identifies organizational conditions for sustaining Generation Z talent, based on their specific characteristics. There is limited evidence of such studies for Generation Z in the literature. The paper adopts a structured and systematic approach involving typology methodology. By taking a holistic and theoretical perspective on ways to enhance Generation Z engagement, the paper seeks to address an existing gap in the literature.

Details

Development and Learning in Organizations: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7282

Keywords

Article
Publication date: 29 November 2022

Anil Kumar Dixit, Smita Sirohi, K.M. Ravishankar, A.G. Adeeth Cariappa, Shiv Kumar, Gunjan Bhandari, Adesh K. Sharma, Amit Thakur, Gaganpreet Kaur Bhullar and Arti Thakur

The purpose of the study is to identify the factors affecting the entrepreneur's choice of the dairy value chain and evaluate the impact of the value chain on farm performance…

Abstract

Purpose

The purpose of the study is to identify the factors affecting the entrepreneur's choice of the dairy value chain and evaluate the impact of the value chain on farm performance (profit).

Design/methodology/approach

Primary data were collected from dairy entrepreneurs in India, covering nine states. A multinomial treatment effect model (controlling for selection bias and endogeneity) was used to evaluate the impact of the choice of the value chain on entrepreneurs' profit.

Findings

Dairy entrepreneurs operating in any recognized value chain other than the value chain driven by the consumer household realize a comparatively lesser profit. Dairy farmers have established direct linkages with customers in urban areas – who could pay premium prices for safe and quality milk. Food safety compliance is positively associated with profit and entrepreneurs (who have undergone formal training in dairying) preferred partnerships with a formal value chain. The prospects of starting a dairy enterprise are slightly higher in villages compared to urban areas.

Research limitations/implications

Dairy entrepreneurs can make a shift in accordance with the study's findings and boost their profitability. It aids in comprehending how trainees (who obtained advice and training for raising dairy animals from R&D organizations) and non-trainee dairy farmers make value chain selections, which ultimately affect profitability. However, purposive sampling and a small sample size limit the universal implications of the study.

Social implications

Developing entrepreneurial behavior and startup culture is at the center of policymaking in India. The findings imply that the emerging value chain not only enhances the profit of dairy farmers by resolving consumer concerns about food safety and the quality of milk and milk products but also builds consumer trust.

Originality/value

This paper offers insight into how the benefits of dairy entrepreneurs vary with their participation in the different value chains. The impact of skill development/training programs on value chain selection and farm profitability has not yet been fully understood. Here is an attempt to fill this gap. This paper through light on how trained and educated dairy entrepreneurs are able to establish a territorial market by approaching premium customers – this is an addition to the existing literature.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-0839

Keywords

Article
Publication date: 25 July 2023

Meenal Kumar and Smita Khan

This study attempts to conduct a post-occupancy assessment of the primary technical, functional and behavioral features in a student housing facility at the Visvesvaraya National…

Abstract

Purpose

This study attempts to conduct a post-occupancy assessment of the primary technical, functional and behavioral features in a student housing facility at the Visvesvaraya National Institute of Technology campus in Nagpur, India to see if the students are satisfied with the residential hostel's environs and facilities.

Design/methodology/approach

The study reviews knowledge areas pertinent to the technical, functional and behavioral performance of student housing facilities by looking at the body of accessible literature. Even though the literature review gave a thorough overview of the broad issues, it was essential to learn about the situation as it is and addresses the specific issues brought up to undertake a thorough evaluation, just as every in-depth study depends on a reliable methodology. Therefore, a methodology appropriate for the research was developed, which helped in identifying relevant attributes for the questionnaire to be used for the survey. This aided in analyzing the building's performance evaluation through the sole users of the hostel which are the students. The survey data is analyzed by statical methods using SPSS software to identify the key determinants of satisfaction in students' residential hostels and if these are affected by the gender of the students.

Findings

The survey results were examined to determine the level of satisfaction with the selected performance aspects, and the major determinants governing it. The findings concluded that most of the technical and functional determinants of satisfaction in hostels are identified the same by both genders, except for some of the attributes in behavioral elements. The research looked at how well key success elements in the student housing facility had been implemented.

Research limitations/implications

Research is carried out in CFTI only wherein architecture is one of the branches.

Originality/value

Planning professionals, architects, housing managers and facility managers involved in the design, construction and management of student housing facilities might benefit from feedback from a post-occupancy evaluation. The post-occupancy study can therefore aid in continually enhancing the standard and effectiveness of the facilities for planning, constructing, managing and maintaining student residential housing.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-6862

Keywords

Article
Publication date: 8 August 2023

Smita Abhijit Ganjare, Sunil M. Satao and Vaibhav Narwane

In today's fast developing era, the volume of data is increasing day by day. The traditional methods are lagging for efficiently managing the huge amount of data. The adoption of…

Abstract

Purpose

In today's fast developing era, the volume of data is increasing day by day. The traditional methods are lagging for efficiently managing the huge amount of data. The adoption of machine learning techniques helps in efficient management of data and draws relevant patterns from that data. The main aim of this research paper is to provide brief information about the proposed adoption of machine learning techniques in different sectors of manufacturing supply chain.

Design/methodology/approach

This research paper has done rigorous systematic literature review of adoption of machine learning techniques in manufacturing supply chain from year 2015 to 2023. Out of 511 papers, 74 papers are shortlisted for detailed analysis.

Findings

The papers are subcategorised into 8 sections which helps in scrutinizing the work done in manufacturing supply chain. This paper helps in finding out the contribution of application of machine learning techniques in manufacturing field mostly in automotive sector.

Practical implications

The research is limited to papers published from year 2015 to year 2023. The limitation of the current research that book chapters, unpublished work, white papers and conference papers are not considered for study. Only English language articles and review papers are studied in brief. This study helps in adoption of machine learning techniques in manufacturing supply chain.

Originality/value

This study is one of the few studies which investigate machine learning techniques in manufacturing sector and supply chain through systematic literature survey.

Highlights

  1. A comprehensive understanding of Machine Learning techniques is presented.

  2. The state of art of adoption of Machine Learning techniques are investigated.

  3. The methodology of (SLR) is proposed.

  4. An innovative study of Machine Learning techniques in manufacturing supply chain.

A comprehensive understanding of Machine Learning techniques is presented.

The state of art of adoption of Machine Learning techniques are investigated.

The methodology of (SLR) is proposed.

An innovative study of Machine Learning techniques in manufacturing supply chain.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 29 March 2023

Anshu Sharma and Aradhana Vikas Gandhi

This study aims to explore the adoption behaviour of consumers towards innovative technology products and services (ITPS).

Abstract

Purpose

This study aims to explore the adoption behaviour of consumers towards innovative technology products and services (ITPS).

Design/methodology/approach

A qualitative study using semi-structured in-depth interviews was conducted with 47 respondents. Their lived experiences across 50+ ITPS were studied. A grounded theory approach was used to develop a theory with reference to consumer adoption of ITPS.

Findings

Themes emerged across the adoption process, such as triggers for adoption (pressing need, making life more pleasurable, urge to acquire and forced initiation); hesitancies faced by consumers during evaluation (value alignment, utilization, ecosystem, risks with new technology and price); and factors that help in overcoming the hesitancies (word of mouth, de-risking schemes and self-devised strategies).

Practical implications

Innovators must understand customer triggers and design offerings that activate the same – addressing a pressing need or making lives more pleasurable. Users driven purely by an urge to acquire can be a source of early word of mouth for radical innovations. Innovations must be designed and communicated to minimize hesitancies. Mitigating schemes such as equated monthly installment and return policy can be offered to empower customers to overcome hesitancies. Factors such as price, risk, beliefs, traditions and nationalistic values assume importance, specifically in an emerging economy.

Originality/value

This study based on grounded theory keeps the user at the centre and explains the innovation adoption phenomenon for a wide variety of 50+ ITPS in the context of an emerging economy.

Details

International Journal of Innovation Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 9 January 2024

Sweta Sinha and Koustab Ghosh

This paper aims to explore the evolving needs of Indian men and their aspirations regarding work–life balance practices. The ultimate aim is to assess whether the available…

Abstract

Purpose

This paper aims to explore the evolving needs of Indian men and their aspirations regarding work–life balance practices. The ultimate aim is to assess whether the available policies are helpful and to explore the various roadblocks in their implementation.

Design/methodology/approach

This study takes a qualitative approach and draws on the semi-structured interviews of Indian men (N = 19).

Findings

The analysis revealed an asymmetrical approach of organizations toward implementing employee benefit policies. The organizations remain plagued by the notion that “benefits policies” are needed only by women to carry out additional family responsibilities, whereas men remain aloof from such responsibilities, which takes its strength from the patriarchal roots of Indian society. This study reveals two major themes: lack of appreciation for gender egalitarianism arising among men at the work–family interface’ and the coping practices by men to address their ‘role strain arising due to work–family conflict. It is noted that there is a need to formulate policies and practices to cater to men’s evolving aspirations toward the family–work interface.

Originality/value

This study furthers the debate on inclusive policies for employees and examines the subsection of men for their evolving needs and aspirations. Although organizations live in the glory of having employee-friendly policies, they offer little help in advancing gender neutrality in the workplace. The inclusive policies shall also be helpful for females because it would increase the availability of their partners/spouses to share the family responsibilities.

Details

Gender in Management: An International Journal , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2413

Keywords

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