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The research explores indecision of strategic leaders in a complex case organization. This research offers new insights into the drivers of indecision of upper echelons decision-makers and explores the perceived consequences of the decision-makers' indecision.

Following a review of literature on upper echelons theory and strategic decision-making, indecision and the antecedents and consequences of indecision, the research follows a qualitative exploratory design. Semi-structured interviews were conducted among 20 upper echelons decision-makers with responsibility across 19 Sub-Saharan African countries in a case company. Thematic analysis was used to analyze the data.

The findings reveal that specific organizational, interpersonal and personal factors work together to drive strategic leader indecision in a complex organization. Strategic leader indecision brings about several negative organizational consequences and demotivates team members.

The findings are based on a single-case exploratory design but represent geographical diversity.

The research cautions organizations to deal with the drivers of strategic leader indecision to help avoid potential negative consequences of stifled organizational performance and team demotivation.

The study offers previously unknown insights into strategic leader indecision. This study builds on current literature on the antecedents and consequences of indecision and has a new research setting of strategic leader indecision in a complex organization.

The purpose of this paper is to investigate the mediating role of perceived organizational politics on the relationship between electronic human resource management (e-HRM) use and e-HRM macro-level consequences.

The paper uses a cross-sectional survey of HR professionals, line managers and information technology specialists. A purposive stratified sampling technique is employed. The analyses of data make use of regression and process macro in SPSS analysis.

The effect of e-HRM use on e-HRM macro-level consequences is partially mediated by perceived organizational politics.

Organizations can invest in e-HRM use alongside other HR practices such as, emotional intelligence training, to reduce the negative effects of perceived organizational politics and in the process enhance employee attitudes and performance.

The study enriches the scope through which the interaction between e-HRM use and perceived organizational politics is viewed. The study was conducted in Zimbabwe, demonstrating that the indirect effect of e-HRM use on e-HRM macro-level consequences is not limited to developed economies.

Early research on overqualification suggested that overqualification is primarily associated with negative attitudes and behavior. As a consequence, hiring practitioners were advised against hiring overqualified job applicants. However, recent studies have revealed that there are several potential positive consequences of overqualification. Given this change in perspective on overqualification, we examine how hiring practitioners nowadays look at overqualified job applicants, and what their considerations are for hiring an overqualified job applicant or not.

We have interviewed 33 hiring practitioners to examine their attitudes and considerations toward hiring overqualified job applicants.

Results show that hiring practitioners are aware of potential positive as well as negative consequences of overqualification and consider a variety of factors to assess how beneficial hiring an overqualified candidate will be. These factors fall under three categories: Individual considerations, interpersonal considerations and contextual considerations.

We show that overqualification is not a stigma anymore and that the decision to hire an overqualified job applicant or not depends on a mixture of factors that are carefully considered. Two of these three considerations transcend the individual level (i.e. the overqualified person), whereas most research and theories on the consequences of overqualification do not go beyond the individual level. As such, our findings call for more theory and research on interpersonal and contextual factors shaping the consequences of overqualification.

The purpose of this study is to create an information classification model that is tailored to suit the specific needs of public sector organizations in Sweden.

To address the purpose of this research, a case study in a Swedish municipality was conducted. Data was collected through a mixture of techniques such as literature, document and website review. Empirical data was collected through interviews with 11 employees working within 7 different sections of the municipality.

This study resulted in an information classification model that is tailored to the specific needs of Swedish municipalities. In addition, a set of steps for tailoring an information classification model to suit a specific public organization are recommended. The findings also indicate that for a successful information classification it is necessary to educate the employees about the basics of information security and classification and create an understandable and unified information security language.

This study also highlights that to have a tailored information classification model, it is imperative to understand the value of information and what kind of consequences a violation of established information security principles could have through the perspectives of the employees.

It is the first of its kind in tailoring an information classification model to the specific needs of a Swedish municipality. The model provided by this study can be used as a tool to facilitate a common ground for classifying information within all Swedish municipalities, thereby contributing the first step toward a Swedish municipal model for information classification.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.

This study aims to answer the research question of how a calculative regime for public universities is implemented, how and under which conditions its symbolic use emerges and what kind of unintended consequences occur over time.

The empirical material presented in the paper derives methodically from a longitudinal qualitative research approach analyzing higher education systems (HES)-reforms in Austria. To better understand the consequences of the organizational changes in line with the new legal framework, 2 series of qualitative interviews in 2011/2012 and 2016/2017 on the field level and the organizational level were conducted.

Identifying two enabling consequences from the tactical behaviors of resistance and symbolic use, i.e. new processes of communication and horizontal network building, allows for theory-building with a focus on the dynamics how accounting begins, then next becomes an established infrastructure, is then destabilized and re-elaborated before it becomes, again, an infrastructure which is different from before.

Although the findings are based on a national empirical context, they are linked to the international discourse on HES in transition and the role of calculative regimes including performance measurement and management attitudes and instruments. They are relevant for an international research community open-minded toward differentiated case studies in a longitudinal perspective on HES-reforms.

When reflecting on their own specific settings governing bodies and practitioners managing the transition of HES may find insights from longitudinal case studies inspiring. The dynamics initiated by new calculative regimes installed need a sensitive framework to handle dissent, resistance, tactical behaviors and changes in power relations between the field level and the organizational level.

This is a unique longitudinal case study of the Austrian HES and its public universities in transition.

The purpose of this paper is to propose a framework to distinguish between various types of antecedents and consequences of impulse buying. The authors tested it using a meta-analytical approach.

The authors examined 12 databases and analyzed 178 relationships in 100 articles. For the quantitative data analysis, the authors used the coefficient of correlation r as a metric to measure the effect size of the studied scope variables.

The findings of this meta-analysis demonstrated significant relation of antecedents and consequences of the impulse buying behavior, such as consumer impulsiveness (r = 0.464), materialistic consumption (r = 0.344), purchase pleasure (r = 0.270), hedonic value (r = 0.311), income (r = 0.703), gender (r = 0.150), age (r = −0.062), store atmosphere (r = 0.166), decision-making (r = 0.703) and positive emotions (r = 0.323).

This meta-analysis reviewed relationships found worldwide in the literature, expanding and improving the current knowledge. The meta-analysis identified ways that research on impulse buying is lacking and presented suggestions for the elaboration of new studies to allow future researchers to better define their agendas.

This meta-analysis brings important questions, such as impulse buying behavior is associated not only with consumer impulsiveness but also with materialistic consumption.

This research tested the impact of the antecedents and consequences of impulse buying and presented important results through this meta-analytical review. This meta-analysis contributes to the marketing literature, with a set of empirical generalizations, including relationship coefficients and calculated fail-safe numbers.

This study aims to conduct a thorough literature review to map current studies on international marketing capabilities (IMCs) applying dynamic capabilities view (DCV). The aim of this study is to increase the chances for more conceptual and terminological rigor in future research in this particular research area.

This is a systematic literature review following the established review process of reviews in leading (international) marketing journals. A multilevel analytical approach was adopted, combining inductive coding with deductive coding and following the logic of antecedents-phenomena-consequences.

Synthesis of 20 rigorously selected previous empirical studies on IMCs applying DCV reveals that academic interest in these capabilities is well justified and growing and there are some well researched antecedents to focal capabilities (e.g. inter-organizational capabilities, outside-in market orientation) as well as their prevalent consequences (e.g. export and innovation performance). There is little knowledge of moderators to these links, especially with regard to consequences. This review illustrates that the current research lacks consistency in how key constructs are defined and measured, provides the guide to future conceptualization and measurement of so-called International Dynamic Marketing Capabilities (IDMCs) and proposes some concrete research directions.

The authors extend prior research in the investigated topic by critically evaluating prior works, providing improved conceptualization of IDMCs as well as concrete research agenda for IDMCs structured along recommendations for Theory, Context and Methods (TCM framework).

Unethically behaving customers deviating from morally acceptable norms have posed an additional challenge to retailers, frontline employees (FLEs) and other customers in recent crisis-dominant environments. While research concerning customer behaviour ethicality focusses on purchasing modes and consumption behaviour, unethicality in all its facets receives limited attention, leaving dimensions of unethical customer behaviour (UCB) and effective managerial strategies unexplored. The purpose of this paper is to describe dimensions of UCB, investigate its causes, explore its consequences for customers and FLEs and infer practical implications for retail management by collecting customers' and FLEs' views in collaboration of each other.

Due to the explorative nature of this research, qualitative semi-structured interviews with 45 customers and 51 FLEs were conducted, following a content analytical approach and the establishment of inter-rater reliability coefficients.

The findings reveal multiple UCB dimensions operating on situational and individual behavioural levels, targeting mainly employees, followed by customers. The reasons for UCB arising correspond to customers' attitudes, social influences and egoistic motives. UCB imposes risks of financial losses for retailers, due to the wasting of resources as a consequence of employees' stress and emotional exhaustion, demanding managerial boundary-spanning activities. Further, it negatively impacts customers' shopping behaviours, provoking online shopping and shopping avoidance.

The study fills the research gap regarding perceived unethicality of customer behaviour by describing and explaining differing forms of UCB, considering customers' and FLEs' views in retail stores. It develops a UCB framework, identifies UCB dimensions beyond current academic research and derives specific practical implications to make the phenomenon manageable for retailers. The originality of this paper lies in the synthesis of the three UCB dimensions, consisting of antecedents, forms of UCB and consequences for customers and FLEs.

The railway signal equipment failure diagnosis is a vital element to keep the railway system operating safely. One of the most difficulties in signal equipment failure diagnosis is the uncertainty of causality between the consequence and cause for the accident. The traditional method to solve this problem is based on Bayesian Network, which needs a rigid and independent assumption basis and prior probability knowledge but ignoring the semantic relationship in causality analysis. This paper aims to perform the uncertainty of causality in signal equipment failure diagnosis through a new way that emphasis on mining semantic relationships.

This study proposes a deterministic failure diagnosis (DFD) model based on the question answering system to implement railway signal equipment failure diagnosis. It includes the failure diagnosis module and deterministic diagnosis module. In the failure diagnosis module, this paper exploits the question answering system to recognise the cause of failure consequences. The question answering is composed of multi-layer neural networks, which extracts the position and part of speech features of text data from lower layers and acquires contextual features and interactive features of text data by Bi-LSTM and Match-LSTM, respectively, from high layers, subsequently generates the candidate failure cause set by proposed the enhanced boundary unit. In the second module, this study ranks the candidate failure cause set in the semantic matching mechanism (SMM), choosing the top 1st semantic matching degree as the deterministic failure causative factor.

Experiments on real data set railway maintenance signal equipment show that the proposed DFD model can implement the deterministic diagnosis of railway signal equipment failure. Comparing massive existing methods, the model achieves the state of art in the natural understanding semantic of railway signal equipment diagnosis domain.

It is the first time to use a question answering system executing signal equipment failure diagnoses, which makes failure diagnosis more intelligent than before. The EMU enables the DFD model to understand the natural semantic in long sequence contexture. Then, the SMM makes the DFD model acquire the certainty failure cause in the failure diagnosis of railway signal equipment.