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The purpose of this paper is to identify the accurate cause and effect relationships among strategic objectives and also to demonstrate how decision makers can be guided in the process of defining quantitative strategic target values in the framework of balanced scorecard (BSC) and performance measurement system.

Based on the proposed method in this research, after determining strategic objectives and developing an initial strategy map according to decision makers’ opinions, simultaneous equations system (SES) was used to determine the significance of the relationships among strategic objectives in higher perspectives of the BSC and corresponding strategic objectives in lower perspectives. Afterward, desirable values for performance measures were determined based on the equations and relationships obtained through SES and were optimized by goal programming method.

By applying the proposed method, a clearer picture of the associations among strategic objectives is obtained and the influence of strategic objectives on one another is determined. Afterward, optimal values for strategic objectives are determined to achieve the organization’s goals.

This paper proposes a framework for constructing a strategy map and setting quantitative targets in the framework of BSC. Indeed, this paper presents a case study to demonstrate the applicability and effectiveness of the proposed approach. However, SES technique requires a greater amount of data to generate more accurate results. Although the advent of the Information Age has forced organizations’ decision makers to provide sufficient information and data for business analysis, the data requirements are met.

The presented quantitative approach is a supporting approach for improving decision makers’ opinions and enabling them to reach a more accurate picture of the relationships, valuing strategic objectives and achieving strategic goals. This research also presents a case study to demonstrate the applicability of the proposed approach. The application and implication of the proposed method in banking services show that the contributions of the paper are not only theoretical, but also practical.

The proposed method provides a novel approach for determining the most appropriate targets and applies a comprehensive and scientific model together with decision makers’ opinions and experiences and has two main contributions: first, the associations among strategic objectives are investigated and obtained in an effective way by conducting the SES for the first time in the framework of BSC. Second, quantitative targets have been determined to help in achieving the long-term goals. This task has been accomplished through a combination of SES, the three-stage least squares regression analysis and optimization by using weighted goal programming method.

The purpose of this paper is to propose a quantitative methodology for setting targets in the framework of Balanced Scorecard (BSC) in order to achieve vision and goals.

Response Surface Methodology is proposed to find the significant relationships that should be included in the strategy map and the optimal values of performance measures are assessed by using the desirability function-based approach of RSM. The proposed method was created by reviewing the existing literature, modeling the problem, and applying it in an oil company. In fact, RSM is used to execute the design matrix, analyze the collected data, extract models, analyze the results, and optimize the procedures that generate multiple responses.

By applying this methodological design, a clearer picture of the relationships between strategic objectives is obtained and the influence of strategic objectives on one another is determined. Afterward, optimal values for performance measures are determined.

This paper proposes a framework for constructing a strategy map and setting quantitative targets to translate the goals and strategies into corresponding performance measures and targets. Also, this paper presents a case study to demonstrate the applicability and effectiveness of the proposed approach. However, RSM-based techniques require a greater amount of data to generate more accurate results. Although the advent of the Information Age has forced organizations’ decision makers to provide sufficient information and data for business analysis, the data requirements of RSM-based techniques are met.

In practice, the process of setting targets for performance measures can be challenging in terms of reaching a consensus between managers and decision makers. The findings of this paper can offer a new approach for performance evaluation based on the BSC which allows the organization’s decision makers to reach a more accurate picture of the relationship model between organization goals and those objectives within the BSC. It also demonstrates how decision makers can be guided in the process of defining performance target values in the BSC method.

Reviewing the literature on setting quantitative targets within the framework of the BSC showed no prior study in which RSM is used. This approach has two main contributions: the associations among strategic objectives are investigated and obtained in an effective way which analytically identifies the direction and degree of the relations among the performance measures. Considering the performance evaluation structure based on the BSC, quantitative targets have been determined to help in achieving the long-term goals of the organization. The application of the proposed method in a company showed that the contributions of this research are not only theoretical, but practical as well.

In a recent review of the history of women in unions, the author suggested that downturns in the economy have had a more significant effect on women than men in unions, leading to significant declines in the membership of women in unions. The purpose of this paper is to explore the relationship between economic cycles and women's membership in unions.

The paper investigates that relationship using both quantitative and historical methods and generate evidence for the proposal.

Based on the historical and quantitative analysis, it is concluded that a more accurate way to depict the situation is to say that economic conditions influence union membership through a number of important intervening variables and, furthermore, that changes in those intervening variables over the past 40 years have substantially influenced the relationship between economics and union membership.

This paper is unique in its combination of historical and empirical approaches to addressing questions of a historical nature. The paper addresses an interesting proposal regarding relationships between economics and gender in union membership

This study aims to explore how coping strategies (CS) mediate the relationship between job insecurity (JI) and subjective well-being (SWB) leading to presenteeism among millennials. This study has been tested based on the conservation of resources theory (Hobfoll, 2001) and the transactional theory of stress and coping (Lazarus and Folkman, 1984). In India, employees in the information technology (IT) and business process management sectors have been facing increased job insecurity over the last couple of years. The advent of technology has increased job insecurity among millennials, specifically in the IT sector. The Indian IT and information technology–enabled service (ITES) sector witnessed mass retrenchments by companies in 2016–2017. Instead of reskilling, the companies decided to lay off their employees. During the pandemic, the IT and ITES industries witnessed a massive culture shift in terms of technology and work engagement. Postpandemic, the recession is looming large on these industries. In 2022, tech layoffs have witnessed 135,000 employees impacted globally and many may lose their job in the coming year. This study chose Indian millennials because they form a large part of the Indian workforce, especially in the IT and ITES sector.

In this study, cross-sectional design is used where different individuals are part of the study at the same point in time. A sequential mixed method of research is adopted for this study, owing to the kind of research questions and the requirement to include critical realism. A qualitative study was carried out post the quantitative study, to corroborate the results from the quantitative study. Quantitative methodologies address questions about causality, generalizability or magnitude of outcome, whereas qualitative research methodologies explore why or how a phenomenon occurs, describe the nature of an individual’s experience during the study relevant to the context and/or develop a theory (Fetters et al., 2013). Because the study is about the millennial workforce in IT and the ITES sectors, the sample population comprised employees in Delhi and the national capital region (NCR) of Delhi in northern India. Out of a total of 374 ITES companies listed in the national association of software and service companies (2018), 103 are based out of Delhi/NCR; hence, companies from Delhi/NCR were chosen for the study. The other reason for opting for companies based in Delhi/NCR was that many millennials from second- and third-tier cities also are employed in these companies bringing in varied cultural perspectives. This study included 588 employees working in ITES organizations based in the National Capital Region of India. Mediation analysis for statistical verification was carried out with regression-based analysis in SPSS macro process (version 4).

The impact of job insecurity on the positive and negative affects of the subjective well-being of millennials was found to be substantial. Coping strategies moderated the relationship and it was seen that both engaged and disengaged strategies of coping had an impact on the positive affect of subjective well-being but did not have any impact on the negative affect of subjective well-being. The positive affect of subjective well-being was negatively related to presenteeism, and the negative affect of subjective well-being was positively related to presenteeism.

This study is carried out only in the ITES industry and on millennials. With the advent of technology, other industries are going through challenges concerning layoffs even though the severity of the same might be less. In times to come, for strategizing employee engagement, it is necessary to understand how the workforce copes with various work-related stress factors. The positive affects and negative affects of well-being and responses have been studied from an employee perspective only. Further research should be conducted to explore responses from both employers and employees to establish presenteeism and the antecedents of presenteeism in conjunction with positive and negative affects of well-being. There is further scope to study the impact of job insecurity on adaptive presenteeism in older generations and various industries given the current job scenario and talent-reskilling issues.

This study brings forth original insights into the impact of constant job threats on millennials employed in the IT and/or IT service sectors. The key findings contribute to literature knowledge and help managers recognize the unfavorable consequences of continuous job threats on the well-being of employees. There is an immediate need for managers to recognize the problem and devise various policies and communication strategies to enable millennial employees to cope with the constant changes in the organization, owing to various technological, political and environmental factors. Organizations should be mindful of this impact, which can subsequently have serious consequences on the productivity of the employees, resulting in decreased overall performance and health of the organization.

This study of job insecurity as a job stressor, triggering coping strategies in Indian millennials working in the ITES and IT industry, presents original insights. This study explores and presents how the impact of job insecurity may increase presenteeism as a result of coping. This study brings value to practitioners and this study may help organizations improve the overall well-being of their employees, thus improving productivity. On the contrary, it also opens opportunities for exploring the impact of job insecurity as a challenge stressor.

Selecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy relationships among projects complicate this problem. This study aims at constructing a project portfolio selection and scheduling (PPSS) model while quantifying the dynamic synergetic effects to provide decision support for managing PPSS problems.

This study develops a mathematical model for PPSS with the objective of maximal project portfolio benefits (PPBs). To make the results align with the strategy, comprehensive PPBs are divided into financial and non-financial aspects based on the balanced scorecard. Then, synergy benefits evolve dynamically in the time horizon, and system dynamics is employed to quantify them. Lastly, a case example is conducted to verify the applicability of the proposed model.

The proposed model is an applicable model for PPSS while incorporating dynamic synergy. It can help project managers obtain the results that which project should be selected and when it should start while achieving optimal PPBs.

This study complements prior PPSS research in two aspects. First, financial and non-financial PPBs are designed as new criteria for PPSS, making the results follow the strategy. Second, this study illuminates the dynamic characteristic of synergy and quantifies the synergetic effect. The proposed model provides insights into managing a PPSS effectively.

In the continuous development of high-speed railways, ensuring the safety of the operation control system is crucial. Electromagnetic interference (EMI) faults in signaling equipment may cause transportation interruptions, delays and even threaten the safety of train operations. Exploring the impact of disturbances on signaling equipment and establishing evaluation methods for the correlation between EMI and safety is urgently needed.

This paper elaborates on the necessity and significance of studying the impact of EMI as an unavoidable and widespread risk factor in the external environment of high-speed railway operations and continuous development. The current status of research methods and achievements from the perspectives of standard systems, reliability analysis and safety assessment are examined layer by layer. Additionally, it provides prospects for innovative ideas for exploring the quantitative correlation between EMI and signaling safety.

Despite certain innovative achievements in both domestic and international standard systems and related research for ensuring and evaluating railway signaling safety, there’s a lack of quantitative and strategic research on the degradation of safety performance in signaling equipment due to EMI. A quantitative correlation between EMI and safety has yet to be established. On this basis, this paper proposes considerations for research methods pertaining to the correlation between EMI and safety.

This paper overviews a series of methods and outcomes derived from domestic and international studies regarding railway signaling safety, encompassing standard systems, reliability analysis and safety assessment. Recognizing the necessity for quantitatively describing and predicting the impact of EMI on high-speed railway signaling safety, an innovative approach using risk assessment techniques as a bridge to establish the correlation between EMI and signaling safety is proposed.

This paper seeks to systematically review and synthesise existing research knowledge on African women entrepreneurship to identify gaps for future studies.

The paper conducted a systematic literature review of published studies from 1990 to 2020 on women entrepreneurship in Africa using a 5M gender aware framework of Brush et al. (2009).

The systematic literature review of published studies found the fragmentation, descriptive and prescriptive orientation of studies on Africa women entrepreneurship and devoid of theoretical focus. Further, women entrepreneurship studies tended to be underpinned from various disciplines, less from the entrepreneurship lens, mostly quantitative, and at its infancy stage of development. With a primary focus on development, enterprise performance and livelihood, studies rarely attended to issues of motherhood and the nuanced understanding of women entrepreneurship’s embeddedness in family and institutional contexts of Africa.

The paper questions the view that women entrepreneurship is a “panacea” and unravels how family context, customary practices, poverty and, rural-urban and formal/informal divide, significantly shape and interact with African women entrepreneurs’ enterprising experience and firm performance.

The findings and analyses indicate that any initiatives to support women empowerment via entrepreneurship should consider the socially constructed nature of women entrepreneurship and the subtle interplay of the African institutional contexts’ intricacies, spatial and locational differences which significantly influence women entrepreneurs’ choices, motivations and goals for enterprising.

The paper contributes to a holistic understanding of women entrepreneurship in Africa by using a 5M framework to review the research knowledge. In addition, the paper not only identifies unexplored/or less examined issues but also questions the taken-for-granted assumptions of existing knowledge and suggest adoption of context- and gender-sensitive theories and methods.

Mathematical models are constructed at the interface between practice, experience and theories. The function of models puts us on guard against the privilege granted to what is accepted as abstract and formal, and at the same time puts us on guard against a static and phenomenological conception of knowledge. The epistemology of models does not suppress in any way the objectives of science: only, a dogmatic conception concerning truth is removed, and dynamic and dialectical aspects of monitoring are stressed to establish the most viable model. The purpose of this paper is to examine hybrid methodologies (inductive-deductive) that may either propose hypothetical causal relations and seek support for them in field data or detect causal relations in field data and propose hypotheses for the relations detected.

The authors follow a dialectical analysis for a type of inductive-deductive model.

In this work, the authors present an inductive-deductive methodology whose practical result satisfies the Hegelian dialectic. The consequent implication of their mutual reciprocal integration produces abstractions from the concrete that enable thought. The real problem in this case is a given ontological system or reality.

The essential elements of the models – variables, equations, simulation and feedback – are studied using a dialectic Hegelian theory.

Companies are increasingly incorporating support for social causes in advertising to improve brand image and increase sales, but it is unclear how these behaviours influence purchase intentions. This paper aims to analyse this relationship from a strategic perspective to assess whether the degree of fit of any of the five strategic dimensions that Zdravkovic et al. (2010) propose influence purchase intentions synergistically.

This study includes two stages: a qualitative stage to build brand–cause relationships and a quantitative study of one of these relationships to examine which fit dimensions are involved and whether they generate synergy in purchase intentions.

Results demonstrate that adjustment to two of the five dimensions is sufficient to influence emotional responses positively.

This study presents limitations, as it has been developed using a particular sample of university students.

These analyses provide tools for managers to verify which types of strategic fit operate in this relationship and facilitate co-branding planning to achieve financial goals.

The analysis provides tools for managers to verify which types of strategic fit operate in this relationship and facilitate co-branding planning to achieve financial goals.

The purpose of this paper is to study the modelling mechanisms of several grey incidence analysis models with great influence, including Deng’s grey incidence model, absolute degree of grey incidence model, slope degree of incidence model, similitude degree of incidence model and closeness degree of incidence model; then analyse the problems to be solved in grey incidence analysis models; and clarify the applicable ranges of commonly used grey incidence models.

The paper comes to conclusions by means of comparable analysis. The authors compare several commonly used grey incidence analysis models, including Deng’s grey incidence model, absolute degree of grey incidence model, slope degree of incidence model, similitude degree of incidence model and closeness degree of incidence model and give several examples to clarify the reasons why quantitative analysis results of different models are not exactly the same.

As the intension of each kind of incidence model is clear and the extension is relatively obscure, grey incidence orders calculated by different incidence models are often different. When making actual decisions, incompatible results may appear. According to different characteristics of extraction, grey incidence analysis models can be divided into three types: incidence model based on closeness perspective, incidence model based on similarity perspective and incidence model based on comprehensive perspective.

The conclusions obtained in this paper can help people avoid some defects in the process of actual selection and choose the better incidence analysis model.

The conclusions can be used as a reference and basis for the selection of grey incidence analysis models, it can help to overcome the defects and shortcomings of models caused by themselves and screen out more excellent analytical models.