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Good planning is key to good project performance. However, for the sub-class of round-the-clock projects requiring mixed mode planning a suitable planning approach does not exist. The purpose of this paper is to develop and validate such an approach.

Development of the approach builds on a synthesis and extensions of previous work related to projects with round-the-clock schedules, containing multiple workflows (sequential/cyclical). This approach considers the interdependence among shift-schedule, productivity, calendar duration, and risk registers. It quantifies the confidence in those strategies using a Monte Carlo and a multi-dimensional joint confidence limit (JCL) simulation platform.

n of workflows and their interdependencies. Also, the platform results show that the deviation between the deterministic outcomes and the simulated ones are a good indicator when dealing with projects with minimal tolerance for possible imposed mitigation strategies (e.g. round-the-clock projects).

The validation of the approach is limited to a multi-billion dollar nuclear refurbishment case study and functional demonstration. The applicable class of projects is limited, and includes those for which failure of cost, schedule, or quality implies project failure.

It is anticipated that the proposed approach will assist with developing a realistic planning strategy by incorporating various factors and constraints under the impact of risks and uncertainty. This may lead to a more reliable determination of outcomes for round-the-clock projects.

This paper aims to describe how linked data technologies can change the digital library collections, what are the benefits of linked data applications in digital libraries and what are the challenges of digital libraries in linked data environment.

The present study is based on substantial literature review on the applications of linked data technologies in digital libraries. The search engines such as Google, Yahoo and Google Scholar were used to find the relevant literature for the study. Online databases such as Pro Quest, Science Direct, Emerald and JSTORE were also used to find the relevant literature of the study. Databases of Library Sciences Library and Information Science and Technology Abstracts and Library Information Science Abstracts were also used to find the relevant literature of the study. Library, linked data technologies, Semantic Web, digital library and digital collections were the main keywords which were used to find the relevant literature for the study.

The evolution of linked data technologies and Semantic Web has changed the traditional role of the libraries. Traditional libraries are converting into digital libraries and digital libraries are in a struggle to publish their resources on the Web using XML-based metadata standards. It has made capable the digital collections to be viewed by machines on the Web just like human. On the emergence of linked data applications in digital libraries, Web visibility of the libraries has been enhanced to provide the opportunities for the users to find their required quality information of libraries round-the-clock on the Web. National Library of France, National Library of Spain, Europeana, Digital Public Library of Americana, Library of Congress and The British Library have taken the initiatives to publish their resources on the Web using linked data technologies.

This study present several key issues for policy makers, software developers, decision makers and library administrators about linked data technologies and its implementations in digital libraries. The present study may play its role to facilitate the users of the Web who are enthusiastically interested to exploit the quality and authentic library resources on the Web round-the-clock. Search engines will also achieve their longstanding goal to exploit the quality resources of the libraries for their Web users to make their Web appearance more credible and trustworthy.

The objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic considerations, competition and so on to select the most optimal retail convenience store location.

A case of National Capital Region, India, for a 24-h convenience store was considered for the study and the major criteria that affect the performance of a convenience store are identified, such as population characteristics, economic criteria, competition, consumer accessibility, store size, total cost, site attractiveness and security. Fuzzy AHP is utilized to find the weightage for each criteria and a combination of fuzzy TOPSIS and grey relational analysis (GRA) is applied to rank the alternative using these criteria weight. Further, results obtained are compared with results from fuzzy TOPSIS and fuzzy VIKOR methods. Sensitivity analysis is also performed for ensuring the robustness of the framework.

It is observed that outcomes do not change under various settling coefficient values, demonstrating that the methodology is very robust. The developed framework will be quite useful to diverse retailers looking to expand and generate substantial profits.

A large sample size of number of locations encourages generalization of results. Strategic ranking of the selected locations is carried out on a few selected criteria. The study was limited by the designated geographical area.

The study contributes to the few available articles on convenience store selection using combination of fuzzy AHP, fuzzy TOPSIS and GRA for a developing country.

A BEHIND‐the‐scenes operation at Heathrow is that of ensuring constant availability of mobile ground servicing vehicles providing round‐the‐clock support for aircraft. To give an instance, it requires approximately 40 mobile ground vehicles to attend to the needs of a Boeing 747 Jumbo between touch‐down and subsequent take‐off.

IT is a promising outlook for the future that Fairfield's new management has almost at the outset organized three courses on work study for the shop stewards. Twenty‐six of these shipyard workers have already been to school again at Esher Place, the college of the Electrical Trades Union, wrestling with stop watches and involved in unusual calculations.

This paper aims to explore ChatGPT’s (generative pre-trained transformers) potential as a tool for retailers to improve customer experience and boost sales. While it provides benefits like personalized recommendations and 24/7 assistance, there are limitations, like difficulty in understanding unconventional language. The paper stresses careful integration to overcome these limitations and create a better customer experience. Additionally, it discusses the potential for further development and integration of ChatGPT in retail, such as generating product descriptions and virtual try-on experiences. Finally, the paper encourages retailers to embrace ChatGPT to meet their customer needs.

Case-based methodology involves using specific cases or examples to explore a broader issue or phenomenon. Researchers have analysed real-world cases to identify patterns, themes and insights that can be applied to other contexts or situations. This was useful for understanding complex and multifaceted issues as it allowed us to delve deeper into specific examples and explore the nuances of the situation.

While ChatGPT is a powerful tool for retailers, limitations such as difficulty in understanding non-standard accents and unconventional language can arise, causing customer frustration. Retail managers must integrate ChatGPT in a way that enhances customer experience. In the future, ChatGPT has the potential to generate product descriptions, provide virtual try-on experiences and integrate with augmented or virtual reality technology to offer more immersive experiences. Careful consideration and integration can help retailers overcome these limitations and offer personalized recommendations, round-the-clock assistance and an engaging customer experience that improves sales.

The case topic is very much in a novel stage of research and writing.

Workplace temporalities are being reshaped under globalization. Some scholars argue that work time is becoming more flexible, de-territorializing, and even disappearing. I provide an alternative picture of what is happening to work time by focusing on the customer service call center industry in India. Through case studies of three firms, and interviews with 80 employees, managers, and officials, I show how this industry involves a “reversal” of work time in which organizations and their employees shift their schedules entirely to the night. Rather than liberation from time, workers experience a hyper-management, rigidification, and re-territorialization of temporalities. This temporal order pervades both the physical and virtual tasks of the job, and has consequences for workers’ health, families, future careers, and the wider community of New Delhi. I argue that this trend is prompted by capital mobility within the information economy, expansion of the service sector, and global inequalities of time, and is reflective of an emerging stratification of employment temporalities across lines of the Global North and South.

A talent shortage and underrepresentation of women in logistics emphasize the need to assess the logistics work culture. As logistics practitioners face round-the-clock job pressures, work–family conflict presents one such opportunity for study. Consequently, the purpose of this paper is to assess the impact of supervisors and mentoring on work interference with family (WIF) and subsequent job satisfaction and intent to leave logistics.

Under role conflict theory, the authors apply structural equation modeling to survey data of logistics practitioners, focusing on time, strain and behavior WIF sources.

The results highlight the complexity of WIF in logistics. Strain and behavior-based WIF relate to job satisfaction, which then relates to intent to leave logistics. Family-supportive supervisors reduce time and strain-based WIF, and mentoring provides complementary support for behavior-based WIF. However, mentoring also yields unintended contradictory effects for women as detrimental to time-based WIF.

The relatively small sample size, particularly for women, limits generalizability of the results.

To foster supportive work environments, logistics organizations must train supervisors and mentors to resolve employee WIF, including its different sources and gender-specific impacts.

The interplay of supervisors and mentors has not been well studied to date. Also, the contradictory impacts of mentoring for women based on WIF sources challenges WIF literature and issues warnings for mentoring in professional practice. Finally, the results provide insight into the talent shortage and gender imbalance in logistics that lack empirical study.

Offices usually operate five‐days‐a‐week from Monday to Friday, with employees following the standard five‐day workweek. Unlike scheduling employees in seven‐days‐a‐week or round‐the‐clock operations, (e.g. hospitals and utilities), scheduling office employees seldomly presents problems – an office opens from 9 to 5, Monday to Friday, and employees go to the office from 9 to 5, Monday to Friday. While scheduling office employees is not seen as a problem, office operation might be improved using compressed workweeks, which call for fewer workdays per week, but usually a longer workday.