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Despite corporate communications having an immense impact on corporate success, there is a lack of dedicated techniques for their management and visualization. A potential strategy is to apply business process management (BPM) approach with business process model and notation (BPMN) modeling techniques.

The goal of this study was to gain empirical insights into the cognitive effectiveness of BPMN-based corporate communications modeling. To this end, experimental research was performed in which subjects tested two modeling notations – standardized BPMN conversation diagrams and a BPMN extension with corporate communications-specific concepts.

Standard conversation diagrams were demonstrated to be more time-efficient for designing and interpreting diagrams. However, the subjects made significantly fewer mistakes when interpreting the diagrams modeled in the BPMN extension. Subjects also evolved positive perceptions toward the proposed extension.

BPMN-based corporate communications modeling may be applied to organizations to depict how formal communications are or should be performed consistently, effectively and transparently by following and integrating with BPM approaches and modeling techniques.

The paper provides empirical insights into the cognitive effectiveness of corporate communications modeling based on BPMN and positions the corresponding models into typical process architecture.

Fama–French model (FFM) has been successful in helping to predict the financial markets, but investors have been interested in creating more sophisticated models to better predict the performance of the stock market. The objective of the extended version is to create a more robust econometric model to better predict the performance of the Mexican Stock Market.

The study divides the Mexican Stock Market into six different portfolios. The criteria to build those portfolios are the same one used in Fama–French (1992). The study comprises 78 stocks listed in the Mexican Stock Market that are analyzed monthly during 1997–2018. The study analyzes the period before and after the 2008–2009 financial crisis to identify whether there are important changes. The estimation applies the traditional and an extended version of the FFM that include macroeconomic variables such as country risk, economic activity, inflation rate, and exchange rate and some financial variables recommended in the literature.

Results indicate that classic FFM variables are statistically significant in most cases, but relevant macroeconomic variables such as the interest rate, exchange rate and country risk stand out for being weakly relevant in most of the portfolios. However, it is noticed that some of these macroeconomic variables became relevant for different portfolios only after the 2008–2009 crisis, especially in portfolios which include small market capitalization firms.

The study includes the stocks listed in the Mexican Stock Market. One limitation is the small number of stocks available, which reduces the possibility of creating well diversified portfolios. This study includes 78 stocks. The stocks removed from the sample are from firms that were not listed during six consecutive months or whose market capitalization did not change in the same period. Outlier data were removed from the sample to capture in better way the general performance of the stock market.

The objective of the extended version is to create a more robust econometric model than the traditional model. It is expected that such estimations can be helpful to investors to make better decisions when they try to predict performance in the stock market.

An extended version of the FFM can be helpful to investors to make better decisions when they try to predict performance in the stock market.

To the best of our knowledge there are no more studies in the literature of the Mexican financial market that apply the same methodology.

This paper introduces a basic model and an extended model to evaluate the pass-through mortgage-backed securities (MBS) recently issued by Korea Housing Finance Corporation. The basic model assumes that the processes of interest rates, prepayment rates, and option-adjusted spreads have simple forms, of which parameters can be easily estimated by the market data available today. This paper presents the pricing formula on the basic model and the demonstrations under the present market data. We also suggest an extended model, a new but complicated model for pricing pass-through MBS, in which the interest rates and prepayment rates follow stochastic processes, and the option-adjusted spread is decomposed into one from refinancing and the other from mortgage turnover. However, since this kind of pass-through MBS has been traded in Korean financial market only recently, the market parameters in the extended model are not able to be estimated properly. We, instead, develop the pricing formula under the extended model and present the process of estimation of the parameters of the model. The participants in Korean MBS market can price the pass-through MBS for now under the basic model with limited set of data available, and later, when the market data is accumulated enough to estimate the parameters properly, they can take advantage of the extended model.

Intuitionistic linguistic fuzzy information (ILFI), characterized by linguistic terms and intuitionistic fuzzy sets (IFSs), can easily express the fuzzy information in the process of muticriteria decision making (MCDM) and muticriteria group decision making (MCGDM) problems. The purpose of this paper is to provide an overview of aggregation operators (AOs) and applications of ILFI.

First, some meaningful AOs for ILFI are summarized, and some extended MCDM approaches for intuitionistic uncertain linguistic variables (IULVs), such as extended TOPSIS, extended TODIM, extended VIKOR, are discussed. Then, the authors summarize and analyze the applications about the AOs of IULVs.

IULVs, characterized by linguistic terms and IFSs, can more detailed and comprehensively express the criteria values in the process of MCDM and MCGDM. Therefore, lots of researchers pay more and more attention to the MCDM or MCGDM methods with IULVs.

The authors summarize and analyze the applications about the AOs of IULVs Finally, the authors point out some possible directions for future research.

This qualitative study explores how trailing spouses form their relationships before and after a crisis such as the COVID-19 pandemic and what patterns can be observed. It explores their significant relationships with friends and extended family, focusing on dynamics and change.

The authors conducted semi-structured interviews with seven trailing spouses in Malaysia: before the pandemic, in the beginning and at the end of the first year of the pandemic. The authors used longitudinal interpretative phenomenological analysis (LIPA).

Being aware of the limits of resources emerged as a key factor in how trailing spouses develop and maintain relationships with friends and extended family. The fact that the pandemic changed the dynamics of their social networks illuminates how crucial these relationships or their absence are in their adjustment and readjustment process. Children play a significant role in these relationships.

Comparative research into the friendships and relationships of different groups of trailing spouses in various locations could capture more specificity of the relationship dynamics.

The explored patterns can promote a better understanding of the relationship dynamics of trailing spouses' networks, which can, in turn, support and facilitate both adjustment and repatriation processes. They can help explain how and what kind of social networks best support trailing spouse transition during a time of crisis or adjustment. These findings could be incorporated into intercultural training programs.

No current study that the authors know of has explored trailing spouses' relationship dynamics in a longitudinal study before and during a crisis.

The purpose of this paper is to explore the benefits of co-creation/co-design using extended reality (XR) technologies during the initial stages of the design process. A review of the emerging co-creation tools within XR will be examined along with whether they offer the potential to improve the design process; this will also highlight the gaps on where further research is required.

The paper draws on professional and academic experiences of the authors in creative practices within the realm of XR technology, co-creation and co-design. In addition, a review of the current literature on emerging technologies and work-based learning will offer further insight on the themes covered.

To design, collaborate, iterate and amend with colleagues and peers in a virtual space gives a wide range of obvious benefits. Creative practitioners both in education and employment are working more collaboratively with the advancement of technology. However, there is a need to find a space where collaboration can also offer the opportunity for co-creation that improves the initial stages of the design process. This technology also offers solutions on the constraints of distance and ameliorates creative expression.

There is an opportunity to test the ideas expressed in this paper empirically; this can be done through testing co-creation tools with professionals, work-based learners and students.

The paper will add to the existing literature on emerging technologies as a unique environment to improve co-create/co-design the visuals created during the fuzzy front end of the design process and offer a potential framework for future empirical work.

This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions.

EQCA supplements the method of qualitative content analysis, which enables researchers to deal with large amounts of data, with two elements from grounded theory, which allow detailed analysis and interpretation of codes and sub-codes. The elements in question are axial coding and theoretical sampling.

EQCA provides a method to generate middle-range theories by combining theoretical and empirical analysis to address and theorize the complex interactions between actors, structures and norms in international institutions. The value added by the proposed method is demonstrated with a case study of a United Nations intergovernmental working group in the issue area of business and human rights.

Based on the concepts of interpretation and social causality, this paper contributes to the body of qualitative research that transcends the dichotomy between positivist and post-positivist approaches in the disciplines of international relations and international political theory.

The purpose of this paper is to examine mothers’ social media accounts that focus on children’s fashion. The authors probed children’s fashion photo practices as representations of the mothers’ extended self and the kind of childhood representations produced by the social media accounts. They also investigated mothers’ perceptions of children’s privacy when engaging in sharenting – the sharing of information about children or parenting online.

The study is based on 16 semi-structured interviews with Finnish mothers who had Instagram accounts focusing on children’s fashion.

Children’s fashion photos play a diverse role in mothers’ identity work. The photos can be used to express a mother’s taste and aesthetic skills, to express values, to fit into peer groups and to store memories of oneself and the children. Through the photos, representations of the prevailing Finnish childhood ideals, such as authenticity, naturalness and playfulness, are reproduced. The mothers perceived the children as part of their extended self and justified sharenting with mother- and child-centered arguments.

Through shedding light on the practices of social media fashion photography, this paper provides insights into how commercialism and social media shape cultural expectations for both motherhood and childhood. The paper contributes to previous research on sharenting, extending it to the context of fashion photography.

The purpose of this paper is to investigate pharmaceutical market access (MA) and the interaction between the pharmaceutical company and other business and non-business actors (NBAs) involved in the MA of ethical drugs, to identify the main categories of actors, their role for MA and the content of the interaction, adopting an industrial marketing approach.

A qualitative interpretivist approach is adopted, with interviews as the primary data collection method: 36 interviews have been conducted with 16 key informants from the pharmaceutical industry.

The findings of this study reveal that (i) MA can be seen as a relational-driven activity with specific features owing to the highly regulated nature of the pharmaceutical industry, (ii) there is a multiplicity of business, and NBAs involved in the MA activities with whom pharmaceutical companies interact to acquire knowledge, legitimacy and make MA timely and effective, and (iii) the interaction with each category of actors has specific content.

This paper advances the debate on the marketing and management of pharmaceutical companies by emphasizing the importance of MA and the need to conceptualize it according to an industrial marketing perspective, revealing the interdependencies among actors for MA and the content of the interaction. It also contributes to the industrial marketing literature that has recently stressed the importance of NBAs as part of the extended business network of a company by identifying different categories of actors, their role in terms of knowledge and legitimization and the features and the trade-off of the extended business network in highly regulated markets.

This study aims to introduce the achievements and benefits of applying wheel/rail-force–based maintenance interval extension of the C80 series wagon in China.

Chinese wagons' existing maintenance strategy had left a certain safety margin for the characteristics of widely running range, unstable service environment and submission to transportation organization requirements. To reduce maintenance costs, China railway (CR) has attempted to extend the maintenance interval since 2020. The maintenance cycle of C80 series heavy haul wagons is extended by three months (no stable routing) or 50,000 km (regular routing). However, in the meantime, the alarming rate of the running state, a key index to reflect the severe degree of hunting stability, by the train performance detection system (TPDS) for the C80 series heavy haul wagons has increased significantly.

The present paper addresses a big data statistical way to evaluate the risk of allowing the C80 series heavy haul wagons to remain in operation longer than stipulated by the maintenance interval initial set. Through the maintenance and wayside-detector data, which is divided into three stages, the extension period (three months), the current maintenance period and the previous maintenance period, this method reveals the alarming rate of hunting was correlated with maintenance interval. The maintainability of wagons will be achieved by utilizing wagon performance degradation modeling with the state of the wheelset and the often-contact side bearing. This paper also proposes a statistical model to return to the average safety level of the previous maintenance period's baseline through correct alarming thresholds for unplanned corrective maintenance.

The paper proposes an approach to reduce safety risk due to maintenance interval extension by effective maintenance program. The results are expected to help the railway company make the optimal solution to balance safety and the economy.