Search results

The purpose of this paper is to present a multi-staged methodology for the assessment of technology maturity profiles. In particular, this research is being developed to simplify the maturity evaluation procedure in order to combine a large number of inputs from R&D projects and thus to obtain a broad picture of technology maturity profiles that is not specific to a particular organisation, industry sector or particular process.

A multi-stage method was employed. The first stage of which was a workshop involving a range of eminent academics and senior professionals from institutes or industry in order to outline the maturity scale and its defining characteristics. The second stage was to develop a questionnaire to investigate the maturity of particular technologies in the wider research portfolio. Finally, a case study was conducted to validate the practicability of the method by assessment of industry capability and advancement.

Based on the responses received from the questionnaire, a maturity profile was constructed for each project, displaying percentages of R&D efforts along the adopted maturity scale. The findings demonstrate that the real value of the generic matrix is in tailoring the framework according to the particular context of a firm in order to identify risks that would compromise the exploitation of the emerging technologies under development.

There are some limitations in this study which provide ground for future research. For instance, the proposed methodology could be applied to industrially sponsored R&D projects in addition to the publicly funded projects, which have been targeted in this study. This study uses a case study to demonstrate the applicability of the method, but this could be applicable to other industry domain. Further testing of the method is necessary in order to increase its robustness and to better understand its applicability and feasibility.

It could be considered that the success of this study could be emulated in a wider context of new manufacturing technologies which are being taken up by industry, utilising a comparable but amended scale of technology vs level of take-up and/or funding. It is potentially a useful way for funding bodies to monitor impact of sponsored R&D projects. For industry, it is also a vital link to the academic institutions developing emerging technologies, by guiding both industry sectors and individual customers to the relative maturity of particular technologies.

Multidisciplinary business process management (BPM) research can reap significant impact. We can particularly benefit from incorporating accounting concepts to address some of the key BPM challenges, such as value-creation and return on investment of BPM activities. However, research which addresses a relationship between BPM and accounting is scarce. The purpose of this paper is to provide a detailed synthesis of the current literature that has integrated accounting aspects with BPM. The authors profile and thematically describe existing research, and derive evidence-based directions to guide future research.

A multi-staged structured literature review approach to search for the two broad themes, accounting and BPM, supported by NVivo (to manage the papers and the coding and analysis processes) was designed and followed.

The paper confirms the dearth of work that ties the two disciplines, despite the synergetic multidisciplinary results that can be attained. Available literature is mostly from the management accounting perspective and relates to describing how performance management, in particular performance measurement, can be applicable to process improvement initiatives together with tools such as activity-based costing and the balanced scorecard. There is a lack of research that examines BPM in relation to any financial accounting perspectives (such as external reporting). Future research directions are proposed together with implications for practitioners with the findings of this structured literature review.

The paper provides a detailed synthesis of the existing literature on the nexus between accounting and BPM. It summarizes the implications for practitioners and provides directions for future research by identifying key gaps and opportunities with a sound contextual basis for extension and new work.

Effective literature reviews create strong foundations for future research and accumulate the otherwise scattered knowledge into a single place. This is the first structured literature review that provides a detailed synthesis of the research that ties together the accounting and BPM disciplines, providing a basis for future research directions together with implications for practitioners.

Due to the difficulties organisations face in implementing process improvement initiatives (PIIs), this research explores how visualisation and standardisation of business processes help organisations achieve PIIs to improve organisational performance.

A multi-staged case study strategy that analyse qualitative data and performs a process modelling analysis of quantitative data.

The paper makes two main contributions to existing knowledge. Firstly, it explains how taking the visualised and standardised methods on PIIs can reduce service delivery times and enhance organisational performance. Secondly, it demonstrates how adopting these dual methods offers a better chance of increasing organisational performance than using only a single method.

Although the paper considers the flexibility in the standardisation of business processes as it gives scope for innovation and creativity on the part of the process, it did not consider if flexibility is possible without breaking the standardised working way. Hence, future research can consider this. Also, future research can hypothesise the BPM model and test for statistical generalisability.

The research offers new insight into how and when both visualisation and standardisation of PIIs can benefit organisations.

The main impetus of the current paper is to identify and prioritize the work–family balance (WFB) satisfaction attributes specifically for working sole mothers' by deploying the Kano technique and weighted average method.

A multi-stage methodology has been used in the present analysis. Initially, the Kano method has been utilized to categorize the WFB satisfaction attributes using a three-dimensional WFB satisfaction scale. Afterward, the satisfaction coefficient technique was employed on Kano outcomes to get the WFB satisfaction and dissatisfaction index. Subsequently, the weighted average method was employed to prioritize the WFB satisfaction attributes.

Findings uncovered the significance of a non-linear association between WFB attributes and employed sole mothers' WFB satisfaction. The findings revealed that one-dimensional and must-be-based WFB satisfaction attributes are responsible for sole mothers' WFB satisfaction and employing organizations must not overlook them. Additionally, the results of weighted average method-based prioritization can help organizations to focus on particular WFB satisfaction criteria according to their priority level.

The findings are useful for WFB policy-makers and managers to formulate a suitable WFB strategy specifically for single mothers.

Results provide a path for employers to minimize the work–family role conflict and societal dissatisfaction that helps sole mothers to attain the desired WFB.

This study first employed a novel approach that incorporates the Kano application with the weighted average method in order to prioritize the WFB satisfaction attributes for lone mothers.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0074

The aim of this paper is to evaluate the degree to which there is cross‐national cooperation when tackling undeclared work and how the fight against undeclared work in Europe might be more effectively coordinated.

A multi‐stage inductive approach is used involving a web survey of 104 senior government officials, trade unions and employer organisations in 31 European countries, 33 follow‐up in‐depth explanatory interviews, four two‐day focus groups in European regions involving 44 stakeholders, and a European‐wide focus group of 20 stakeholders.

Collaboration between European countries is currently partial and very limited when tackling undeclared work. To more effectively collaborate, the consensus amongst the participating stakeholders is that an inclusive network of experts covering the tax, social security and labour aspects of undeclared work needs to be developed which engages in information sharing, capacity building and operational cooperation not only on the issue of cross‐border undeclared work but also combating undeclared work at the national level.

Until now, the literature on undeclared work has not evaluated the extent and nature of cross‐national collaborations to tackle this phenomenon. This paper fills that gap.

The paper reports the consensus reached amongst pan‐European stakeholders on how to more effectively broker knowledge on a multilateral cross‐national basis to tackle undeclared work.

This is the first evaluation of cross‐national collaboration in relation to tackling undeclared work in Europe.

The developed world increasingly expects corporations to support the community under the corporate social responsibility (CSR) banner. For developing countries, the situation differs and CSR has yet to be fully embraced. This study aims to examine the CSR in the Ghanaian construction industry (GCI).

A multi-stage methodology employs descriptive statistics, the t-test and χ2-test to analyse survey data.

Results highlight three broad classifications of CSR project typology: social; infrastructure; and environmental. Ghanaian firms are found more aligned to social/intangible CSR projects than tangible ones.

The study is geographically focussed, but the findings hold relevance to all the developing countries. The findings hold implications for policy making and planning in terms of how Ghanaian communities might integrate corporations within their geographical catchments, to enhance sustainable, local development.

This is the first in a series of CSR research within the Ghanaian context. It holds value for others conducting similar work within the developing world.

The possibility function-based grey clustering model has evolved into a complete approach for dealing with uncertainty evaluation problems. Existing models still have problems with the choice dilemma of the maximum criteria and instances when the possibility function may not accurately capture the data's randomness. This study aims to propose a multi-stage skewed grey cloud clustering model that blends grey and randomness to overcome these problems.

First, the skewed grey cloud possibility (SGCP) function is defined, and its digital characteristics demonstrate that a normal cloud is a particular instance of a skewed cloud. Second, the border of the decision paradox of the maximum criterion is established. Third, using the skewed grey cloud kernel weight (SGCKW) transformation as a tool, the multi-stage skewed grey cloud clustering coefficient (SGCCC) vector is calculated and research items are clustered according to this multi-stage SGCCC vector with overall features. Finally, the multi-stage skewed grey cloud clustering model's solution steps are then provided.

The results of applying the model to the assessment of college students' capacity for innovation and entrepreneurship revealed that, in comparison to the traditional grey clustering model and the two-stage grey cloud clustering evaluation model, the proposed model's clustering results have higher identification and stability, which partially resolves the decision paradox of the maximum criterion.

Compared with current models, the proposed model in this study can dynamically depict the clustering process through multi-stage clustering, ensuring the stability and integrity of the clustering results and advancing grey system theory.

From a supply chain perspective, logistics firms collaborate with other supply chain members to extend their business scope. Investment in circular economy projects in the supply chain can not only broaden the scope of business but also increase the value of the entire supply chain. Third-party logistics companies are gradually participating in the construction and operation of many circular economy projects. How to coordinate multiple circular economy supply chain projects is at the core of its operation.

This paper first analyzes some typical supply chain projects in China and summarizes the main features of these projects. Secondly, considering the benefits of the project and the stakes of each project, a multi-stage stochastic programming model is established. Finally, Cplex, nested decomposition, LocalSolver and other methods are adopted to simulate and analyze the model.

The final experimental results find that the importance of coordinating multiple circular economy supply chain projects to increase the value of the entire supply chain. The multi-stage stochastic programming model presented in this research can provide a useful tool for logistics enterprises and third-party logistics companies to optimize their investment decisions and maximize their profits in the context of a circular economy.

There are still some limitations to this study; for example, it is limited to the analysis of circular economy supply chain projects in China. The study focused on third-party logistics companies, and other enterprises in the circular economy supply chain were not considered. The research also assumed that the benefits of each circular economy project and the stakes of each project were known, which may not always be the case in real-world scenarios.

This manuscript found that investing in other circular economy projects in the supply chain can broaden the scope of business and increase the value of the entire supply chain. Third-party logistics companies are gradually participating in the construction and operation of many circular economy projects, such as recycling and repurposing initiatives. It highlights the importance of coordinating multiple circular economy supply chain projects to increase the value of the entire supply chain. The multi-stage stochastic programming model presented in this research can provide a useful tool for logistics enterprises and third-party logistics companies to optimize their investment decisions and maximize their profits in the context of a circular economy.

The purpose of this research is to propose and empirically test hypotheses concerning the influence of leadership behaviors on interpersonal perceptions of trustworthiness.

Survey research is employed to assess the dimensions of leadership behavior and dimensions of trustworthiness and to determine the relationships among the leadership behavior dimensions and trustworthiness dimensions.

Factor analyses support previous research advocating three dimensions of leadership behavior (relationship development, resource utilization, and image management) and three dimensions of trustworthiness (ability, benevolence, and integrity). A structural model (LISREL), testing the relationship among the three leadership behavior dimensions and the three trustworthiness dimensions, shows that image management influences perceptions of all three dimensions of trustworthiness, and relationship development influences the benevolence dimension of trustworthiness. Using analysis of variance, the research finds that younger individuals view leaders as being more trustworthy than older individuals do.

The limitations of this study include a survey research methodology and a sample of university students.

There are consequences to leaders' actions. This study shows that perceptions of trustworthiness can be influenced by leadership behavior.

Past research suggests that trustworthiness is an important component of a successful organization. This research supports the hypothesis that leadership behavior affects perceptions of trustworthiness, which is important to researchers and managers interested in how the behaviors of leaders influence other areas of the organization.

Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.

The data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.

The re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.

The main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.

The study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.