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The purpose of this study is to explore the factors that influence sustainable homestay development and suggest a model for adopting and implementing the homestay concept and its contribution towards sustainable rural development in Uttarakhand, India.

Researchers have collected a total of 360 responses from tourists, homestay owners/villagers and managers associated with homestay businesses in Uttarakhand to examine, assess and analyse the data with the help of different statistical tools such as SPSS and AMOS to validate the concept of homestay and its impact on sustainable rural development.

The analysis uncovered that collaborative consumption, sharing economy and family feeling and community development are positively associated with and, in return, community development affects sustainable development.

This study enables us to explain the “collaborative consumption” in the context of homestays functional in the state of Uttarakhand only.

The study results in evidence of crucial implications for policymakers. Policymakers should focus on opportunities in tourism and its integration with economic, environmental and social goals. Homestays will be new avenues for economic and sustainable development.

Homestay offers reasonable and cheap lodging for tourists within the existing ancient homes, typically restored for the guests to form a comfortable stay. Homestay is adopted to facilitate community-based tourism in the state. It also helps in developing a source of livelihood for the community. It is helpful for individuals’ economic, social and aesthetic desires to be consummated by maintaining cultural integrity, ecological processes, biodiversity and natural support systems through homestay, as social entrepreneurship. Homestay has been envisaged as a driver to realise the sustainable development goals by steering the pathways to a property future for all involved within the elected hill states.

This study validates a new homestay model that will be useful for developing community and achieving sustainable development.

This study aimed to visualize the trend topics in the research area of library and information science (LIS) in India during 1989–2021.

The data was extracted from the Web of Science core collection database (WoSCC) database from 1989 to 2021. For creating the network visualization maps from the data, freely available softwares, VOSviewer (VV) and Biblioshiny (a Web-interface for bibliometrix), were used.

Results support the prediction that in the future, Indian LIS research will focus on areas such as deep learning, machine learning, artificial intelligence and block chain technology. Among the most prolific authors Satija, M.P (Guru Nanak Dev University, Amritsar) and Prathap, G (APJ Abdul Kalam Technology University) secured top positions in LIS research. Scientometric ranked the top journal or the core journal after applying Bradford law.

The visualization of trend topics in LIS research from 1989 to 2021, 32 years of time span, is the first of its kind.

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

This paper seeks to empirically investigate how a heavyweight product manager (HW) can impact the cross‐functional team and project performance (PP) through actively influencing the ways and the extent of strategic alignment (SA), shared project mission, and clarity of project targets in the early front‐end stage.

Based on past studies on leadership role theory and goal‐setting theory for teams, this study hypothesizes that the role of the HW for SA of the project, shared project mission, and clarity of the project target are positively related. The study further hypothesizes that these roles of the HW can have a positive impact on PP measures such as product cost, time, and customer satisfaction.

Primary data collected from 191 new product development (NPD) projects from the US automotive industry were analyzed using structural equation modeling techniques. All the hypotheses presented in this study regarding the role of the HW in a cross‐functional team are supported. These roles of the HW also seem to indicate a positive relationship with overall PP.

Rather than blindly subscribing to generic and prescriptive “best practices” for the HW, the causal relationship detailed in this study makes it now possible to rationalize the role of HW in cross‐functional product development teams. Through formal and informal influence of the HW, the project and the team gain SA, shared mission, and clear project targets that can drive better PP.

This is the first study to focus specifically on the role of HW in NPD in a cross‐functional team environment.

Using the assumptions of the resource-based view, relational view and swift, even flow theories and the overarching principles of supply chain management, the study aims to test the role of information technology (IT) capability (cross-functional application, supply chain application and data consistency) in enabling supply chain integration (SCI; internal, customer and supplier integration) and the impact of SCI on firm's operational performance in terms of quality, delivery, production cost, inventory level, customer service and product-mix flexibility.

The structural equation modeling approach is used to test theoretical predictions underlying the relationship among dimensions of IT capability, SCI and operational performance based on data obtained from senior executives of 108 large manufacturing firms listed in the Tokyo Stock Exchange.

The results suggest that IT capability has positive impact on SCI, except for data consistency, which is found to have negative impact on internal integration. The results further indicate that SCI, especially customer integration, has positive and significant impact on all operational performance indicators.

The findings inform future initiatives associated with the SCI improvement via specific IT capabilities. When undertaking such initiatives, managers are advised to consider the differential impact of the following IT capabilities on SCI: cross-functional applications, supply chain applications, and data consistency capability.

The study makes an empirical contribution to the body of knowledge by demonstrating the value of the multidimensional representation and analysis of IT capability, SCI, and operational performance given a differential and even opposed influence by some of the dimensions in specific business contexts.

The purpose of this paper is to present a systematic review and analysis of existing research articles on new product development (NPD) published in the 12-year period starting from 1998 to 2009.

To explore the articles related to NPD, four key words namely new product, product design, product development and product innovation were used in combination of title or abstract or keyword of the articles through several knowledge databases. The abstracts of journal papers were read and a decision as to whether article belongs to any NPD research issue or not was made. In total, 1,127 research articles were categorized systematically and then analyzed on various principal NPD information groups.

Analysis of selected articles led to a certain level of dispersion in the publication of NPD research in different journals. It is found that more attention needs to be on knowledge and creativity management, communication and information transfer in any NPD process.

By observing extended literature from authors reviewing articles from various journals, growth in research, and variety of topics covered in NPD, a broad systematic multi journal review of NPD literature is clearly overdue. The authors have developed a comprehensive listing of publications on NPD where they have classified the surveyed papers according to various principal NPD information groups like: published year, NPD research stream, type of organization studied (industrial/consumer/service), level of innovation (high/moderate/low), NPD focus on frameworks, performance perspective (success, failure or both), NPD research design (conceptual/empirical and qualitative/quantitative) and NPD relevant best practice element. Based on the classification scheme, the issues were analyzed from the system's perspective and their implications to NPD research.