Search results

The rising volume of open government data (OGD) contrasts with the limited acceptance and utilization of OGD among citizens. This study investigates the reasons for citizens’ not using available OGD by comparing citizens’ attitudes towards OGD with the development of OGD portals. The comparison includes four OGD utilization processes derived from the literature, namely OGD awareness, needs, access and consumption.

A case study in China has been carried out. A sociological questionnaire was designed to collect data from Chinese citizens (demand), and personal visits were carried out to collect data from OGD portals (supply).

Results show that Chinese citizens have low awareness of OGD and OGD portals. Significant differences were recognized between citizens’ expectations and OGD portals development in OGD categories and features, data access services and support functions. Correlations were found between citizens’ OGD awareness, needs, access and consumption.

By linking the supply of OGD from the governments with each process of citizens’ OGD utilization, this paper proposes a framework for citizens’ OGD utilization lifecycle and provides a new tool to investigate reasons for citizens’ not making use of OGD.

Following the introduction of user fee for interpreting in Danish health care, a considerable decrease in interpreter services has been shown. This study aims to explore the experiences of language minority patients with health-care encounters when an interpreter was needed but not present.

Semistructured, in-depth interviews were conducted with 13 language minority patients with limited Danish proficiency. All interviews were conducted with interpreters in the participants’ native language. Data were analyzed using an inductive thematic approach.

Most participants experienced communication difficulties and difficulties participating actively in their own health care. The experience of unresolved language barriers led to a high degree of uncertainty and left the participants with unanswered health concerns. Participants expressed a reluctance to seek health care, which consequently limited the utilization of health care services.

Although the findings only represent a small sample of patients, the results still reveal major challenges that minority-language patients encounter when seeking health care. Future studies should explore, if the intention of the law is met through the user fees.

Despite having the same entitlements as native Danish-speaking patients, minority-language patients experienced difficulties accessing and using health care services due to the user fee and unresolved language barriers. The study elucidates patient perspectives and points to important ways of improving the quality of health care.

To the best of the authors’ knowledge, no investigation into the communicative consequences of the introduction of the user fee for interpreting services exists. Thus, this study seeks to address that gap.

This study aims to minimize the transportation-related cost in distribution while utilizing a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach. An increased cost in distribution is a major problem for many companies due to the absence of efficient planning methods to overcome operational challenges in distinct distribution networks. The problem addressed in this study is to minimize the transportation-related cost in distribution while using a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach which has not gained the adequate attention in the literature.

This study formulated the transportation problem as a vehicle routing problem with a heterogeneous fixed fleet and workload balancing, which is a combinatorial optimization problem of the NP-hard category. The model was solved using both the simulated annealing and a genetic algorithm (GA) adopting distinct local search operators. A greedy approach has been used in generating an initial solution for both algorithms. The paired t-test has been used in selecting the best algorithm. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet compositions of the heterogeneous fleet. Results were analyzed using analysis of variance (ANOVA) and Hsu’s MCB methods to identify the best scenario.

The solutions generated by both algorithms were subjected to the t-test, and the results revealed that the GA outperformed in solution quality in planning a heterogeneous fleet for distribution with load balancing. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet utilization with different compositions of the heterogeneous fleet. Results were analyzed using ANOVA and Hsu’s MCB method and found that removing the lowest capacities trucks enhances the average vehicle utilization with reduced travel distance.

The developed model has considered both planning of heterogeneous fleet and the requirement of work load balancing which are very common industry needs, however, have not been addressed adequately either individually or collectively in the literature. The adopted solution methodologies to solve the NP-hard distribution problem consist of metaheuristics, statistical analysis and scenario analysis are another significant contribution. The planning of distribution operations not only addresses operational-level decision, through a scenario analysis, but also strategic-level decision has also been considered.

The planning of distribution operations not only addresses operational-level decisions, but also strategic-level decisions conducting a scenario analysis.

Skilled workers are crucial for an organization’s success, and managing, retaining and attracting them is vital in long-term. This study aims to explore talent management practices in the Finnish restaurant industry and to align workers' expectations with the real-world experiences of their work to reduce turnover and enhance job satisfaction.

The study adopts a mixed methods approach, including a survey and interviews with workers and managers to gain insights into their expectations and experiences of work. The study considers themes for designing and implementing effective talent management procedures.

This study highlights the importance of employees' experiences of their work conditions, leveraging positive emotions and fair utilization of temporary agency work (TAW). Understanding the different work preferences of generational cohorts and addressing the challenges associated with owner disengagement and TAW can also contribute to attracting and retaining talent in the restaurant industry.

Skilled workers have often been portrayed as targets that need to be managed, with insufficient consideration given to their preferences, needs and expectations. With the findings of this study, companies can establish mutual understanding with their employees and attract diverse talent.

The incidence of the COVID-19 pandemic has come as a big blow to every dimension of any economy. It disrupts the usual constructs and functioning of economies across the globe. Different macroeconomic variables such as income, employment, etc. have been in shambles because of the unprecedented pandemic. Such a situation needs an alternative thought to turn around everything, and circular economic approach indeed is a potent tool to weather this tumultuous situation. Circular economic framework facilitates recycling and reusing of wastes discarded. Because of various activities, wastes are generated, and if products could be generated out of wastes through a system, it would be beneficial to economies as this ensures the judicious utilisation of resources. Recycling, refurbishing and reducing are three important pillars of the circular economic framework, where product lifecycle gets extended and prudent use of existing resources can be possible. The usage of resources even out of wastes stands out to be a game changer in terms of sustainability of environment. The alternative usage of resources in this way creates alternative employment opportunities. The extension of product lifecycle through recycling and reusing creates alternative rooms for employment, giving ample opportunities for sustainable development. It leads to market creation for waste products. Such a circular economy approach, paving the way for alternative employment generation, leads to sustainable development. The present work tries to re-examine the efficacy of the circular economic framework and its resilience in the context of the unprecedented pandemic in terms of providing alternative employment opportunities. It attempts to underscore how circular economic construct positively impacts prudent use of resources through alternative employment generation in pandemic.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

This paper aims to reduce waste management and generate wealth by investigating the novelty of combining chicken feather fiber and bamboo particles to produce hybrid biocomposites. This is part of responsible production and sustainability techniques for sustainable development goals. This study aims to broaden animal and plant fiber utilization in the sustainable production of epoxy resins for engineering applications.

This research used two reinforcing materials [chicken feather fiber (CFF) and bamboo particles (BP)] to reinforce epoxy resin. The BPs were kept constant at 6 Wt.%, while the CFF was varied within 3–15 Wt.% in the composites to make CFF-BP polymer-reinforced composite (CFF-BP PRC). The mechanical experiment showed a 21% reduction in densities, making the CFF-BP PRC an excellent choice for lightweight applications.

It was discovered that fabricated composites with 10 mm CFF length had improved properties compared with the 15 mm CFF length and pristine samples, which confirmed that short fibers are better at enhancing randomly dispersed fibers in the epoxy matrix. However, the ballistic properties of both samples matched. There is a 40% increase in tensile strength and a 54% increase in flexural strength of the CFF-BP PRC compared to the pristine sample.

According to the literature review, to the best of the authors’ knowledge, this is a novel study of chicken fiber and bamboo particles in reinforcing epoxy composite.

This study aims to investigate the impact of working from home and its duration on job satisfaction.

The analysis was conducted on a representative panel data set from the Russian Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE) for 2016–2021 using endogenous regression models. The impact of working from home on job satisfaction before and during the coronavirus disease 2019 (COVID-19) pandemic, and separately for men and women, was analysed.

Working from home was found to positively affect job satisfaction in the Russian labour market. From 2016 to 2021, men and women who worked from home were more satisfied with their jobs than their counterparts who did not work from home. The positive impact of working from home on job satisfaction was observed before and during the COVID-19 pandemic. However, remote workers (RWR) putting in more than eight hours per day reported lower job satisfaction.

Working from home can be considered as a measure to combat unemployment, increase employment and improve the utilisation (distribution) of human resources. Further research is required to analyse the impact of health issues and the need to care for young children or infirm persons on job satisfaction in remote work. A more detailed analysis is required of the factors that affect the job satisfaction of women who work remotely.

To ensure that labour productivity increases and not decreases, employers are advised to develop more detailed working arrangements and labour management for RWRs. Especially for such assigned workers, task control regulations must be developed. To increase the motivation of individuals to work remotely, overtime should be paid at a higher rate.

Unclear working time regulations lead to overwork, irregular working hours and burnout. For RWRs, this leads to lower job satisfaction and a consequent drop in productivity.

The empirical investigation is based on a representative panel of Russian data with six waves. Wide ranges of job characteristics were incorporated as determinants. The problem of causality was investigated. For models with an endogenous regressor, instrumental variables were tested and selected.

This study aimed to investigate and analyze the level of awareness and adoption of distributed ledger technologies (DLTs) within the Nigerian construction industry. The focus was on addressing the current state of DLT utilization, identifying challenges and opportunities and proposing strategies to enhance the integration of DLTs into the construction processes and practices of Nigerian professionals and organizations.

The research was underpinned by a robust theoretical and conceptual framework, drawing from established theories of technology adoption. A comprehensive literature review guided the identification of various DLT types. This informed the development of a well-structured questionnaire, which was then distributed to Nigerian construction professionals. The collected data underwent analysis using percentages, frequencies, mean scores, the Kruskal–Wallis H-test and the Shapiro–Wilk test.

A significant finding of this study reveals a generally low awareness and implementation of DLT among construction professionals in Nigeria. These findings emphasize the urgent need for comprehensive strategies to bridge the gap between awareness and adoption of DLT within the Nigerian construction industry.

Industry associations, regulatory bodies and educational institutions can collaborate to develop specialized programs aimed at familiarizing professionals with the benefits and applications of DLTs. Additionally, technology providers and policymakers can leverage these findings to design user-friendly interfaces and guidelines for seamless DLT integration into construction processes.

This study contributes to the existing body of knowledge by providing a comprehensive assessment of the awareness and adoption of DLTs specifically within the Nigerian construction industry. While the global recognition of DLT’s potential in construction is acknowledged, this research delves into a regional context, shedding light on the specific opportunities within Nigeria. Furthermore, the study’s identification of a gap between awareness and implementation highlights a critical area for future exploration and development in the field of construction technology adoption.

Performance problems in the public sector (PS) necessitate adaptation due to the sector’s uniqueness. Purposeful leadership (PL) may resolve PS adaptive performance (AP) problems. However, there is a paucity of research on the influence of PL on AP. Using data from three large PS organisations in Ghana, this research explores the relationship between PL and AP through job satisfaction (JS) and organisational identification (OI). It also explores the moderating effect of organisational integrity (IN) on the PL–JS and PL–OI relationships.

This paper created and tested a research model using the responses of 875 public servants in Smart PLS 4. Contract fulfilment and perceived organisational support functioned as control factors influencing JS (an intervener). Perceived procedural justice and psychological need satisfaction serve as control factors for OI (another intervener). Age, sex, tenure, education and job position were used as control variables in AP. To assess the role of moderation, we utilised the product indicator approach, and to estimate the role of mediation, we used variance accounted for (VAF). A significance level of 5% was established.

As anticipated, this study found that PL and AP had a significantly positive connection (t = 2.229, p = 0.000, β = 0.138). Both JS (VAF = 27.37%) and OI (VAF = 39.21%) partially mediated this connection. IN positively moderated the PL–JS (t = 4.249, p = 0.000, β = 0.165) and PL–OI (t = 3.704, p = 0.002, β = 0.099) connections.

This paper provides a theoretical and empirical understanding of the PL–AP relationship, how this relationship is facilitated and how the PL–JS and PL–OI relationships are strengthened. It provides a roadmap for upcoming scholars to test the hypotheses in diverse PS contexts globally to broaden the field of leadership. It will be insightful to show how JS and OI jointly mediate this relationship and the potential mediating role of job embeddedness in further studies.

Human resource (HR) practices in PS organisations, such as selecting, leadership enhancement initiatives, promotions, training and performance evaluations, must be guided by a “values-driven strategy” if leadership is to find, cultivate and keep employees capable of devising innovative strategies to manage unforeseen circumstances at work. The leaders are required to demonstrate the values of their organisations in order to set up a role model.

This study highlights the obstacles that purposeful leaders have the potential to mitigate, as well as the prospects that they might offer. It shows the essence for PS organisations to uphold and maintain high integrity standards as their hallmark.

This paper is the first to create and test a research model that shows the relationship between PL and AP. It also shows the different mechanisms (JS and OI) that make this effect possible, as well as the good work environment (i.e. IN) that allows the PL–JS and PL–OI relationships to grow.