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The purpose of this study is to determine how project governance influences project success. According to the authors, such an effect is mediated by organizational support and project team cohesion. The direct and indirect effects of organizational support and project team cohesion provided helpful information. The authors’ objective is to contribute to the project management knowledge of how project team cohesion plays a significant role in project success.

Data were collected from 350 employees working in Pakistan’s oil and gas industry. Four prime oil and gas exploration companies were selected as samples based on their contribution to the revenue. SPSS v23 and AMOS v23 were used for constructing structural equation modeling and path analysis to examine the direct and indirect effects.

The results revealed that project governance is positively related to project success. Furthermore, organizational support and project team cohesion mediated the relationship between project governance and project success.

Team cohesion has been primarily a topic of interest in sports psychology literature, education and medical sciences. There is an expressed need to investigate team cohesion issues in the broad domain of organizational development, specifically the project management literature. This study contributed by discussing team cohesion in the project context. Second, project governance was investigated using the conservation of resources theory. The lens of intellectual capital was applied to examine intangible resources of project governance like rules, regulations and directives for project success.

Achieving swift and even flow of cargo through the border, the ultimate objective of cross-border logistics (CBL) requires the close coordination and collaboration of a multitude of stakeholders, as well as optimally configured systems. To achieve and sustain competitiveness in a dynamic international trade environment, CBL processes must undergo periodic analysis, improvement and optimization. This study aims to develop a modelling framework to capture CBL processes for analysis and improvement.

Relying on the extant literature, a meta-model is developed incorporating significant perspectives required to model CBL processes. Popular process modelling notations are evaluated against the meta-model and their ease of comprehension is also evaluated. The selected notation through evalution is augmented with addendums for a comprehensive depiction of CBL processes.

The capacity of role activity diagrams (RADs) to depict all perspectives, including interactions in a single diagram, makes them particularly suitable for modelling CBL processes. RADs have been complemented with physical flow diagrams and methods to capture temporal dimension, enabling a comprehensive view of CBL processes laying the foundation for insightful analysis.

The meta-model developed in this paper paves the way to develop an analysis framework which requires further research.

The lack of well-accepted modelling notations for studying CBL processes prompts researchers to search and adapt different formalisms. This study has filled this gap by proposing a comprehensive modelling framework able to capture CBL processes at different granularities in rich detail. Not only does the developed meta-model aid in selecting the notation, it is also useful in analysing the constituent elements of CBL processes.

This paper sets out to solve a common and crucial fundamental theoretical problem of gray incidence cluster analysis: to [X]={X|ρ(X,Y)≥1−ε0} constitute an approximate classification, it must first be proven that [X]={X|ρ(X,Y)=1} constitutes a rigorous classification.

This paper does not study the concrete expressions of various incidence degrees but rather the perfect correlation essence of such incidence degrees, that is, sufficient and necessary conditions.

For any order difference incidence degree, the similarity incidence degree, the direct proportion incidence degree, the parallel incidence degree and the nearness incidence degree, it is proven that the perfect correlation relation is an equivalence relation. The set composed of all sequences Y that are equivalent to sequences X is studied, that is, the equivalence class of X. The structure and mutual relations of these equivalence classes are discussed, and the topological homeomorphism concept of incidence degree is introduced. The conclusion is obtained that the equivalence classes of the two incidence degrees must be the same when the topological homeomorphism is obtained.

In this paper, only the perfect correlation relation of any order difference incidence degree, the similarity incidence degree, the direct proportion incidence degree, the parallel incidence degree and the nearness incidence degree are studied as equivalent relations.

Not only are the research results of several incidence degrees involved in this paper original but also many other effective incidence degrees have not done this basic research, so this paper opens up a research direction with theoretical significance.

Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The purpose of this study is to propose a solution to this problem.

The current study identifies relevant literature and provides a review of big data adoption in libraries. It also presents a step-by-step guide for the development of a BDA platform using the Apache Hadoop Ecosystem. To test the system, an analysis of library big data using Apache Pig, which is a tool from the Apache Hadoop Ecosystem, was performed. It establishes the effectiveness of Apache Hadoop Ecosystem as a powerful BDA solution in libraries.

It can be inferred from the literature that libraries and librarians have not taken the possibility of big data services in libraries very seriously. Also, the literature suggests that there is no significant effort made to establish any BDA architecture in libraries. This study establishes the Apache Hadoop Ecosystem as a possible solution for delivering BDA services in libraries.

The present work suggests adapting the idea of providing various big data services in a library by developing a BDA platform, for instance, providing assistance to the researchers in understanding the big data, cleaning and curation of big data by skilled and experienced data managers and providing the infrastructural support to store, process, manage, analyze and visualize the big data.

The study concludes that Apache Hadoops’ Hadoop Distributed File System and MapReduce components significantly reduce the complexities of big data storage and processing, respectively, and Apache Pig, using Pig Latin scripting language, is very efficient in processing big data and responding to queries with a quick response time.

According to the study, there are significantly fewer efforts made to analyze big data from libraries. Furthermore, it has been discovered that acceptance of the Apache Hadoop Ecosystem as a solution to big data problems in libraries are not widely discussed in the literature, although Apache Hadoop is regarded as one of the best frameworks for big data handling.

The purpose of this study is threefold. The first is to conduct a comprehensive examination of the various board attributes to corporate social responsibility (CSR) reporting in the Chinese technology industry. The second is to investigate the impact of ownership and board attributes on CSR. The third is to examine the moderating effect of media reporting on the relationship between CSR and company financial performance.

All A-share listed Chinese companies during the years 2011–2019 with 1,573 firm-year observations have been investigated for this study. The data are analysed by CSR metrics in the form of environmental, social and governance (ESG) scores using an ordinary least squares regression analysis and fixed effect regression models.

The results of this longitudinal study reveal that; no matter whether the companies are state-own or non-state-own, there is a significant positive effect of board independence, monetary incentives, director’s age and board size on the CSR disclosure of the Chinese technology industry. Also, the results support the importance of CSR performance in promoting the corporate financial performance (CFP) of the technology sector. Specifically, media reporting has a positive impact on the CSR reporting of both state-own and non-state-own technological companies in China.

To the best of the authors’ knowledge, this is the first study based on the ESG metrics for analysing the CSR and firm performance relationship conducted in the unique setting of the state-own and non-state-own technological companies in China. The study is an attempt to fill the gap in the extant literature, which has a scarce number of studies focused on the influence of media reporting on the relationship between CSR performance and CFP. This paper not only updates the existing understanding of CSR performance by board attributes and company ownership but also explains the significance of media reporting in enhancing the CSR performance of the Chinese technology industry.

This study aims to provide a salt ready-mix to instant fried noodles manufacturers.

Response surface methodology was used to get optimized salt ready-mix based on carbonate salt, disodium phosphate, tripotassium phospahte, sodium hexametaphosphate and sodium chloride. Peak viscosity of flour and yellowness, cooking loss and hardness of noodles were considered as response factors for finding optimized salt formulation.

The results showed that salts have an important role in governing quality of noodles. Optimum levels of five independent variables of salts, namely, carbonate salt (1:1 mixture of sodium to potassium carbonate), disodium phosphate, sodium hexametaphosphate, tripotassium phosphate and sodium chloride were 0.64%, 0.29%, 0.25%, 0.46% and 0.78% on flour weight basis, respectively.

To the best of the authors’ knowledge, this is the first study to assess the effect of different combinations of different salts on the quality of noodles. These findings will also benefit noodle manufacturers, assisting in production of superior quality noodles.

The adverse environmental impacts of menstrual products are a significant concern because of their widespread use and non-biodegradability. With various global and regional initiatives on sustainability, there is now greater public awareness about environmental protection. This heightened awareness has resulted in the exploration of alternative methods to reduce waste, such as the development and use of sustainable menstrual products. This study aims to examine the factors that influence Indian women’s purchasing intention in relation to sustainable menstrual products. The study uses the Stimulus–Organism–Behavior–Consequence (SOBC) theory as the appropriate grounded theory to explain these determinants.

Cross-sectional data were collected from 720 women who have been using sustainable menstrual products. For analysing the model, the study performed structural equation modelling using AMOS.

The study’s results indicated that health consciousness, sustainability knowledge and environmental responsibility are positively associated with self-identity and mindfulness. Additionally, the study found that organism states have a positive impact on the purchase intention of sustainable menstrual products. Furthermore, there was a significant relationship observed between purchase intention and mindful consumption. The study also discovered significant positive relationships between satisfaction and key associations.

This study may be considered pioneering, as it establishes a connection between the usage of sustainable menstrual products and concepts such as mindfulness and mindful consumption.

Following behavioral finance and monetary wisdom, the authors theorize: Decision-makers (investors) adopt deep-rooted personal values (the love-of-money attitudes/avaricious financial aspirations) as a lens to frame critical concerns (short-term and long-term investment decisions) in the immediate-proximal (current income) and distal-omnibus (future inheritance) contexts to maximize expected utility and ultimate serenity across context, people and time.

The authors collected data from 277 active equity traders (professional money managers and individual investors) in Pakistan’s two most robust investment hubs—Karachi and Lahore. The authors measured their love-of-money attitude (avaricious monetary aspirations), short-term and long-term investment decisions and demographic variables and collected data during Pakistan's bear markets (Pakistan Stock Exchange, PSX-100).

Investors’ love of money relates to short-term and long-term decisions. However, these relationships are significant for money managers but non-significant for individual investors. Further, investors’ current income moderates this relationship for short-term investment decisions but not long-term decisions. The intensity of the aspirations-to-short-term investment relationship is much higher for investors with low-income levels than those with average and high-income levels. Future inheritance moderates the relationships between aspirations and short-term and long-term decisions. Regardless of their love-of-money orientations, investors with future inheritance have higher magnitudes of short-term and long-term investments than those without future inheritance. The intensity of the aspirations-to-investments relationship is more potent for investors without future inheritance than those with inheritance. Investors with low avaricious monetary aspirations and without inheritance expectations show the lowest short-term and long-term investment decisions. Investors' current income and future inheritance moderate the relationships between their love of money attitude and short-term and long-term decisions differently in Pakistan's bear markets.

The authors help investors make financial decisions and help financial institutions, asset management companies, brokerage houses and investment banks identify marketing strategies and investor segmentation and provide individualized services.

Professional money managers have a stronger short-term orientation than individual investors. Lack of wealth (current income and future inheritance) motivates greedy investors to take more risks and become more vulnerable than non-greedy ones—investors’ financial resources and wealth matter. The Matthew Effect in investment decisions exists in Pakistan’s emerging economy.

This paper aims to examine how an alternative accounting system developed by a marginalised group of women enables them to counter oppressive systems built at the intersections of gender, class and race.

The authors draw on diary notes taken over a period of 13 years in France and Senegal in the context of the first author's family interactions with a community of ten Black immigrant women. The paper relies on Black feminist perspectives, namely, Lorde's work on difference and survival to illuminate how this community of women uses the creative power of its “self-defined differences” to build its own accounting system – a tontine – and work towards its emancipation.

The authors find that to fight oppressive marginalising structures, the women develop a tontine, an autonomous, self-managed, women-made banking system providing them with cash and working on the basis of trust. This alternative accounting scheme endeavours to fulfil their “situated needs”: to build a home of their own in Senegal. The authors conceptualise the tontine as a “situated accounting” scheme built on the women's own terms, on the basis of sisterhood and opacity. This accounting system enables the women to work towards their “situated emancipation”, alleviating the burden of their marginalisation.

This paper gives visibility to vulnerable women's agentic capacities through accounting. As no single story captures the nuances and complexities of accounting, further exploration is encouraged.

This paper contributes to the counter-accounting literature that engages with vulnerable, “othered” populations, shedding light on the counter-practices of accounting within a community of ten Black precarious women. In so doing, this study problematises these counter-practices as intersectional and built on “survival skills”. The paper further outlines the emancipatory potential of alternative systems of accounting. It ends with some reflections on doing research through activist curiosity and the need to rethink academic research and knowledge in opposition to dominant epistemic standards of knowledge creation.

The combination of an Engineered Cementitious Composite (ECC) layer and steel plate to reinforce RC beams (ESRB) is a new strengthening method. The ESRB was proposed based on the steel plate at the bottom of RC beams, aiming to solve the problem of over-reinforced RC beams and improve the bearing capacity of RC beams without affecting their ductility.

In this paper, the finite element model of ESRB was established by ABAQUS. The results were compared with the experimental results of ESRB in previous studies and the reliability of the finite element model was verified. On this basis, parameters such as the width of the steel plate, thickness of the ECC layer, damage degree of the original beam and cross-sectional area of longitudinal tensile rebar were analyzed by the verified finite element model. Based on the load–deflection curve of ESRB, ESRB was discussed in terms of ultimate bearing capacity and ductility.

The results demonstrate that when the width of the steel plate increases, the ultimate load of ESRB increases to 133.22 kN by 11.58% as well as the ductility index increases to 2.39. With the increase of the damage degree of the original beam, the ultimate load of ESRB decreases by 23.7%–91.09 kN and the ductility index decreases to 1.90. With the enhancement of the cross-sectional area of longitudinal tensile rebar, the ultimate bearing capacity of ESRB increases to 126.75 kN by 6.2% and the ductility index elevates to 2.30. Finally, a calculation model for predicting the flexural capacity of ESRB is proposed. The calculated results of the model are in line with the experimental results.

Based on the comparative analysis of the test results and numerical simulation results of 11 test beams, this investigation verified the accuracy and reliability of the finite element simulation from the aspects of load–deflection curve, characteristic load and failure mode. Furthermore, based on load–deflection curve, the effects of steel plate width, ECC layer thickness, damage degree of the original beam and cross-sectional area of longitudinal tensile rebar on the ultimate bearing capacity and ductility of ESRB were discussed. Finally, a simplified method was put forward to further verify the effectiveness of ESRB through analytical calculation.