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The biopsychosocial model (BPSM) on chronic pain is an interactive psychophysiological behavior pattern that cannot be separated into different independent components. However, the epistemological analysis of the classic BPSM, based on “biopsychosocial factors,” can be reduced to a list of biological, psychological and social factors, which can be addressed simultaneously, but independently, where simultaneity is seen as relationality. The purpose of this paper is to achieve a systemic and transdisciplinary vision of the idea of simultaneity and multidisciplinarity of the BPSM and propose a new model for the diagnosis and treatment of chronic pain.

Based on the following conceptual triad, co-autonomy, centralization and non-requisite variety, to constitute systemic indicators, the authors design a new conceptual model of cohesion, communication, conduction and coordination (CO4) model to deal with the relational system of chronic pain patients.

The indicators of the CO4 system as transdisciplinary structure create and focus a completely new relationship regarding the relational system of the chronic pain patients. This new conceptual framework transcends the objects and frameworks of each discipline separately, going beyond the multidisciplinary model.

The CO4 model allows a diagnostic and therapeutic standardization as a new model on chronic pain, improving therapeutic efficiency, resource use and laying the foundation for a common language in future chronic pain research.

Neurostrategy is an abductive decision-making process developed from the knowledge generated within the network of decision-makers. It links cognitive style with the team's decisional adaptability in relation to the organization's purpose. Neurostrategy differs from traditional methods, in which it addresses negative utility or decisional trauma, highlighting the variety of interests that are the main cause of team misalignment and allowing for the development of strategies to address them. Neurostrategy enables the classification of strategy deficiencies based on cohesion, coordination, communication and conduction (Co4).

This paper introduces a novel approach called relational neurostrategy (RNS) to elucidate the knowledge processes influencing decision-making. RNS aims to “capture” the intricate processes guiding decisions, enabling the network's decisional plasticity in both forms and contents. This adaptability is crucial for effectively addressing posed challenges, while simultaneously mitigating the impact of diverse interests. The methodology also ensures transparency in the decision-making process and generates an effective solution strategy.

The RNS addresses two critical aspects of the decision-making process. Firstly, it reduces unnecessary variety stemming from multiple interpretations and secondly, it minimizes the adverse impact of diverse interests within the decision-making network. This approach results in strong and credible decisions that reflect the collective intelligence, cooperation and collaborative efforts of the network, rather than being imposed as absolute truths.

The RNS stands out as a distinctive decision-making method, setting itself apart from existing approaches. Its uniqueness becomes evident in its ability to address the question “what prevents the authors from … ?” from this inquiry, RNS successfully integrates unrequired variety and negative utility. By doing so, it strategically narrows down the search field to the universe of distinctions that truly constitute the problem. This innovative process not only enhances efficiency but also fosters a high level of participation in the strategic design of potential solutions. In essence, RNS brings unprecedented value by effectively navigating the intricacies of decision-making and maximizing the relevance of the identified problem space.

Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the supply chain-, product- and process-design factors for small-series production in EU’s textile and apparel industry, to understand configuration decisions, priorities and challenges.

An interview study was undertaken with ten companies that represent diverse small-series production models and value chain roles. Interview data was analysed to identify supply network configuration characteristics, decision priorities and challenges.

Three small-series production models emerged from the analysis, differing with respect to adoption of process postponement and customization. The findings confirm and extend past research regarding diverse decision priorities and product, process, supply chain structure/relationship configurations. Challenges identified relate to planning (priorities) and implementation (configuration). Whereas competence availability and digital technology challenges are common, several difficulties are linked to production model like tensions related to priorities and small volumes, which are not found with customization.

Future research can make comparisons with other industry and location contexts; adopt dynamic approaches to distinguish between design and reconfiguration processes; and address indicated paradoxical-tensions.

The study findings can provide guidance for companies regarding identification of priorities and management of (planning/implementation) challenges impacting small-series production in T&A.

The paper brings a configuration perspective at the supply chain level to the problem of small-series production implementation, which demands holistic and context-specific understanding.

This paper aims to analyse the characteristics of Chinese multinational corporations in other emerging economies using evidence from Latin America (LA) vis-à-vis the features found in previous studies of Chinese companies operating in developed countries.

It does this by studying the fit of theoretical frameworks recently developed for Chinese firms, the support from the government and the strength of their capabilities in relation to those of local competitors. The analysis is based on case studies with data collected from a theoretical sample of Chinese companies operating in LA.

The results show that these companies seem to be following a pattern similar to that described by Mathews’s (2006) Linkage–Leverage–Learning, that the support from the government does not seem to play an important role in their internationalisation process, that they appear to have developed a set of capabilities strong enough to compete in the host market (in particular how to combine their strengths with those of local partners) and that they are engaged in a positive cycle of development that helps them to overcome some of the challenges and barriers of operating in Latin American emerging markets by complementing/leveraging their strengths with those of local firms.

The findings indicate that Chinese companies are following patterns in their internationalisation to Latin American emerging markets that seems to be a combination of conventional theories (including previous studies on emerging markets-based firms) with idiosyncratic elements.

This research paper aims to explore the influence of social media–based knowledge-sharing intentions (SMKI) on prospective authentic leadership development (ALD) to deal with the future crisis. In the existing literature, to the best of the authors’ knowledge, there is no significant empirical evidence to test the relationship between SMKI and ALD. Thus, this study contributes to the growing literature regarding the role of SMKIs, ALD, social media–based knowledge-sharing behavior (SMKB) and facilitating conditions (FCs). However, in this study, the authors developed a conceptual framework based on technology adoption and leadership theory. It was used to identify preservice educational leaders’ SMKIs and their effect on ALD to deal with an educational crisis during the COVID-19 pandemic. Furthermore, SMKIs are strengthening ALD, directly and indirectly, using SMKB and FCs.

In this study, the higher education students are considered preservice leaders who were enrolled in educational leadership and management programs. However, this study’s target population and sample are students enrolled in educational leadership and management programs. Therefore, higher education students are considered preservice educational leaders. Therefore, a multilevel questionnaire survey approach was adopted to collect data from preservice educational leaders (n = 451 at Time 1 and n = 398 at Time 2) enrolled in education departments in the selected universities in Pakistan. A total of 398 survey questionnaires were finalized with a return ratio of 89%. The partial least square structural equation modeling with SmartPLS 3.2.8 was used for the data analysis.

This research found that SMKIs are positively and significantly connected with ALD. This study also confirms that SMKB significantly and positively mediates the relationship between SMKIs and ALD. Therefore, this study concludes that preservice educational leaders were ready to adopt SMKB.

Social media–based knowledge sharing can be helpful to develop authentic leadership among preservice educational leaders during a crisis. Preservice educational leaders as authentic leaders can prove to be an asset in dealing with the COVID-19 pandemic crisis.

This research integrated the technology adoption model and leadership theory to provide empirical evidence of SMKIs’ direct and indirect influence on ALD through social media–based knowledge-sharing actual use behavior by preservice educational leaders during the COVID-19 pandemic. Moreover, the moderated mediating effect of the FCs was also studied in the relationship between SMKIs and actual user behavior as well as ALD.

This paper reports the developments of a project cost control system (PCCS) for construction projects to (1) measure its current level of cost control maturity, (2) examine the relationships between elements within PCCS processes and (3) identify improvement areas.

This study adopts a mixed approach of descriptive analysis and partial least squares structural equation modelling (PLS-SEM) to measure the current maturity level of PCCS and evaluate the relationships between elements within PCSS to identify improvement areas. Further importance-performance matrix analysis (IPMA) of priority constructs was conducted to improve a target construct and identify the most important areas of specific actions at indicator levels. The results of IPMA revealed the contrast that has the greatest importance on the performance of others so that the recommendations can be made accordingly. Data collected in New Zealand were used to develop the research model.

This study develops structural and measurement models with the constructs including pre-control, in-control and post-control processes, enablers and their proposed interrelationships. Then, data from survey of 184 experienced project cost control team members reveal that post-control has the lowest maturity or weakest areas in the PCCS. Data analysis facilitated by PLS-SEM confirmed that all the constructs in the structural model have positive and significant relationships with each other and suggested that systematic cost analysis reports, communication, skills and experience, defining roles and responsibilities, and top management's support should be the highest priority for improving the PCCS in a more effective manner.

This study presents one of the earliest attempts to develop and test an integrated model that links sub-processes in PCCS and their enablers. Secondly, this research adds to the construction project management literature by empirically verifying the roles of enablers in enhancing maturity level of PCCS.

This paper attempts to understand the reasons for knowledge management (KM) project failure.

Five well‐documented cases of KM project failure in the current literature are reviewed. For each case, the authors examine the circumstantial elements of the failure, including the rationale and intended objectives of the KM project, the outcomes of the project and the reasons that led to project failure.

From the review, two observations are made. First, KM failure factors fall into four distinct categories, namely, technology, culture, content, and project management. Second, KM projects can be traced along a three‐stage lifecycle, comprising initiation, implementation, and integration.

The findings are discussed and finally synthesized into a model of KM project failure. The model serves as a starting‐point for future research in KM project implementation.

Practitioners may use the model as a risk identification tool for KM project implementation.

This paper highlights the fact that KM project failure is a reality with which both practitioners and researchers have to reckon. Additionally, it leverages on the experiences of five KM failure cases and develops a model that allows KM failure factors to be pre‐empted.

The Open API (application programming interface) architecture will play an important role in promoting future FinTech service applications; however, it involves user data, and the current specialization and progression are less visible. Therefore, an evaluation framework for Open API development in the FinTech service ecosystem is constructed in this study.

This study preliminarily selects the four most important key objects and factors of this ecosystem and conducts expert interviews to revise the evaluation framework. Then, this study uses the fuzzy analytic hierarchy process (FAHP) to evaluate the objects and their factor weights and finally uses the FAHP analysis results to further apply the evaluation based on distance from average solution (EDAS) approach to explore the strategy optimization scenarios.

According to the analysis results, the co-creation object and productivity object are the two most significant objects, with weights of 0.275 and 0.272, respectively. The analysis shows that FinTech-related companies expect to increase productivity through co-creation. Finally, the results also indicate that mobile payment is the best Open API application scenario in the FinTech service ecosystem, followed by online banking. These results illustrate strategic and management implications.

This study screens key evaluation criteria with a literature review and expert questionnaire interviews to process quantitative research. It can determine the weights of objectives and criteria to clarify the strength of influence between the objectives and criteria. Next, this study measures the probable performance of Open API applied in various FinTech service ecosystem scenarios.

This paper investigates the foreign ownership structure of service equity joint ventures (EJVs) in China. In less than 20 years, China has emerged from a closed economy to become the second largest recipient of foreign direct investment (FDI) in the world. Now that China is a member of the World Trade Organisation, liberalisation of FDI is expected to accelerate even further. Despite the fact that an increasing proportion of FDI in China is in the form of equity joint ventures in the service sector, little is known of the ownership structure of service EJVs. Using a database of 6,430 foreign EJVs, in China from 1984 to 1996, this paper shows that foreign equity ownership differs significantly between service and manufacturing EJVs with foreign ownership generally being higher in service EJVs. The overall results also suggest that the gradual liberalisation of FDI in the service sector by Chinese authorities has had a positive effect on foreign equity ownership.

This research aims to describe the factors influencing the tax morale of entrepreneurs in the Brazilian telecommunications industry.

The authors surveyed a sample of 167 entrepreneurs from the sector using structured online self-assessment questionnaires analyzed quantitatively through the partial least squares structural equation modeling technique.

The results indicate that risk of detection, severity of punishments and tax justice represent determining factors for the tax morale of entrepreneurs, though their age also contributes to explaining tax behavior, proving to be a significant control variable. These findings presuppose a predominance of institutional pressures from the regulatory and normative pillars on this group, in contrast to evidence from previous studies dealing with tax morale among ordinary citizens.

The theoretical implications are fourfold. The authors address a gap in the study of tax morale at the organizational level, integrate the entrepreneurship literature in specific sectors with tax policies through neo-institutional theory, support changes in the tax legislation of an emerging economy with widespread biases of corruption and add more diversity to the perceived legitimacy of its current tax system. Practical recommendations include the creation of public policies particularly targeted at younger entrepreneurs predominant in this sector to build a regulatory framework that incorporates both tax justice and severity of punishments to foster trust between taxpayers and tax authorities; using the institutional legitimacy mechanism to elicit a more isonomic performance of the tax authorities; and reevaluating the risk of detection strategies.