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The present research is aimed at presenting a framework for the reuse of research data in Iran through applying the United Nations Development Program (UNDP).

The research at hand has a mixed methods design. In the qualitative section, the authors first carried out meta-synthesis and then an interview was conducted. Likewise, in the quantitative section, the reliability of the recommended framework was measured through carrying out a survey. Finally, the framework for data reuse was presented in five dimensions, namely human, organizational, policies and laws, technical, implementation and analysis.

Through structural equation modeling, the fitness of the framework was confirmed, and it was found out that the dimensions of policies, human and organizational played more prominent roles in the explanation of the framework in comparison with the other two dimensions.

Research studies in the area of data reuse have been conducted either quantitatively or qualitatively and in most of them interviews or questionnaires were used as tools for collecting data; however, due to the nature of this area and its relatively new literature in Iran, it is necessary to use mixed methods in order to be able to arrive at a proper understanding of this concept using both quantitative and qualitative approaches.

AccorHotels commenced operations in Brazil in the 1970s. Since then, the company has experienced several economic crises in that country and almost gone bankrupt. Using the dynamic capabilities (DCs) framework, the purpose of this paper is to understand how the company managed to maintain its competitive advantage in such a turbulent and competitive environment over the years. The study sought to identify the main DCs developed in the company between 1974 and 2018 and understand how they were developed based on the analysis of their key microfoundations.

The study adopted a qualitative approach. The data were collected in 22 interviews, including with top management and the founder of the hotel chain in Brazil. The interviews took place in three different years, 2005, 2016 and 2018. The investigation is supported by content analysis of the data.

The four main DCs identified at AccorHotels were capability to innovate; qualification capability; renewal capability; and capability to manage threats and mitigate risks. In addition to shedding light on the origins of the DCs, the importance of microfoundations is discussed.

The model presented in the theoretical framework and results should not be generalized, since this limitation is inherent to qualitative research. On the other hand, there are academic implications relevant to the development of the DCs in the service sector by revealing four capabilities that can enable sustainable competitive advantage.

The results provide business practitioners in the hotel sector with information about DCs and microfoundations to face the external and competitive environment throughout its trajectory. Specifically, it shows the way to develop the capabilities that can collaborate in the exploration of opportunities.

Executives have the responsibility to make appropriate strategic decisions to stay in the market, meeting the expectations of stakeholders. However, the demand is not only financial, employees of tourism businesses are part of family units. Given this context, society gains when studies of this type are developed, because from the socialization of the results obtained from Accor Hotels, leaders can make organizations thrive and foster the professional development of workers, and tourism industry in general.

This is the first study of DCs undertaken with an international hotel chain. In addition, studies on DCs in the tourism industry are still scarce, and Brazil is an environment where hotels have shown steady growth.

First, dynamic theorizing requires a degree of recognition, and a willingness to confront “reality” that it would not occur to most social scientists is either possible or necessary, for each of the social sciences to take steps toward actualizing the purposes that are posed by their subject matter, respectively. This problem is most evident in economics as a mainstream discipline. Its proponents are less concerned with doing justice to the nature of economic processes, and especially the gravity they exert in modern societies, on politics, culture, and society. Rather, mainstream economists are preoccupied with refining frameworks and tools that bear the stamp of legitimacy and respectability, within the confines of their discipline. The question of whether or not those frameworks and tools relate directly to processes in modern societies is not only part of their professional concerns. Instead, it is largely immaterial, since reaffirming the boundaries and analytical imperatives of economics as an established and increasingly powerful discipline is a precondition of membership in an exclusive club whose importance and legitimacy is widely recognized, and rarely closely examined. In this sense, economics is an example and illustration par excellence for the day-to-day operations and practices of science verging on ideology (in the sense of moral, intellectual, or political frameworks whose basic assumptions and relationship to legitimating claims must not be identified, and especially not questioned), and of always being in danger of turning into an ideology.

Primary care in the NHS changed substantially during the 1990s. In recent years, structural changes, most notably the introduction of primary care groups as an administrative centre for planning, have added impetus to the need for adopting meaningful measures of quality of the primary care service. This qualitative study reports the views of a sample of general practitioners, primary care nurses, and practice managers on the development and refinement of current performance indicators. Seven themes were identified as key areas for development of indicators of performance: patient experience, clinical activity, service development and innovation, access, health promotion, cost effectiveness, and quality of life outcomes. These themes are incorporated into a dynamic framework for development where improved outcomes (including quality of life measures) are seen as central to the evaluation of quality, and inter‐professional collaboration in the delivery and evaluation of quality of the new primary care is called for.

The retail revolution swing from traditional distribution to e-tailing services and unprecedented increase in internet adoption insist practitioners to diversely plan warehousing strategies. More than practically required storage space has been identified as wastes, and also it does not improve performance. An organized framework integrating storage design policies, operational performance and customer value improvement for retail-distribution management is lacking. Therefore, the purpose of this paper is to develop broad guidelines to design the “just-right” amount of forward area, i.e., “lean buffer” answering the following questions: “What should be lean buffer size? How effective the forward area is? As per demand variations, which storage waste (SKU) should be allocated with how much storage space? What is the amount of storage waste (SW)? How smooth the material flow is in between reserve-forward area?” for storage allocation in cosmetics distribution centers.

After forecasting static storage allocation between two planning horizons, if a particular SKU is less or non-moving, then it will cause SW, as the occupied location can be utilized by other competing SKUs, and also it impedes material flow for an instance. A dynamically efficient and self-adaptive, knapsack instance based heuristics is developed in order to make effective storage utilization.

The existing state-of-the-art under study is supported with a distribution center case, and the study investigates the need of a model adopting lean management approach in storage allocation policies along with test results in LINGO. The sensitivity analysis describes the impact of varying demand and buffer size on performance. The results are compared with uniform and exponential distributed demands, and findings reveal that the proposed heuristics improves efficiency and reduce SWs in forward-reserve area.

The presented model demonstrates a novel thinking of lean adoption in designing storage allocation strategy and its performance measures while reducing wastes and improving customer value. Future research issues are highlighted, which may be of great help to the researchers who would like to explore the emerging field of lean adoption for sustainable retail and distribution operations.

This essay aims to develop a new concept of learning for organizations. Change concepts are used to explore and find principles of learning that make employees and their organizations ready for the ever changing reality. Considering the rapid and unexpected changes of today it makes them ready for the future of work.

The approach is anticipatory, utilizing a dynamic knowledge development framework, combined with action research in the organization consultancy and training practice.

The article describes theory and practice of four principles of nomadic learning. It shows the connection with change theories and future of work research.

How to realize nomadic learning within organizations and in that way make that organization a learning company is a recommended topic for new research. The consequences for the way of structuring and organizing within organizations should be taken into account.

When nomadic learning is applied it will change the common practice of leadership development and organizational change programs.

Nomadic learning has the capacity to connect people from diverse backgrounds and functions. In that way it can cope with risks of isolation and exclusion.

The combination of philosophic conceptualization and experienced practice makes this article special. This is simultaneously the way to “do” nomadic learning.

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.

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.

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.

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.

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

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.

The purpose of this paper is to highlight and promote fresh thinking in services marketing research.

The topic of the special issue was deliberately chosen to encourage fresh ideas and concepts that will move the discipline forward. The accepted papers have been categorised for ease and convenience of reading by scholars and practitioners, with a short commentary on each category.

There is a wealth of forward-thinking by service(s) marketing researchers that bodes well for the future of the sub-discipline.

The special issue does not address fresh thinking in all areas of services marketing research. Other potential areas for fresh thinking are identified.

New thinking in a scholarly field is necessary to propel the discipline forward.