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This paper aims to explore the impact of a recent earthquake activity on house prices and their spatial distribution in the Istanbul housing market.

The paper uses a multi-level approach within an event study framework to model changes in the pattern of house prices in Istanbul. The model allows the isolation of the effects of earthquake risk and explores the differential impact in different submarkets in two study periods – one before (2007) and one after (2012) recent earthquake activity in the Van region, which although in Eastern Turkey served to alter the perceptions of risk through the wider geographic region.

The analysis shows that there are variations in the size of price discounts in submarkets resulting from the differential influence of a recent earthquake activity on perceived risk of damage. The model results show that the spatial impacts of these changes are not transmitted evenly across the study area. Rather it is clear that submarkets at the cheaper end of the market have proportionately larger negative impacts on real estate values.

The robustness of the models would be enhanced by the addition of further spatial levels and larger data sets.

The methods introduced in this study can be used by real estate agents, valuers and insurance companies to help them more accurately assess the likely impacts of changes in the perceived risk of earthquake activity (or other environmental events such as flooding) on the formation of house prices in different market segments.

The application of these methods is intended to inform a fairer approach to setting insurance premiums and a better basis for determining policy interventions and public investment designed to mitigate potential earthquake risk.

The paper represents an attempt to develop a novel extension of the standard use of hedonic models in event studies to investigate the impact of natural disasters on real estate values. The value of the approach is that it is able to better capture the granularity of the spatial effects of environmental events than the standard approach.

Over 60% of armed conflicts re-occur; the seed of future conflict is sown even as a peace agreement is signed. The cyclical nature of war calls for a focus on youth who can disrupt this pattern over time. Addressing this concern, the developmental peace-building model calls for a dynamic, multi-level and longitudinal approach. Using an innovative statistical approach, this study aims to investigate the associations among four youth peace-building dimensions and quality peace.

Multi-level time-series network analysis of a data set containing 193 countries and spanning the years between 2011 and 2020 was performed. This statistical approach allows for complex modelling that can reveal new patterns of how different youth peace-building dimensions (i.e. education, engagement, information, inclusion), identified through rapid evidence assessment, promote quality peace over time. Such a methodology not only assesses between-country differences but also within-country change.

While the within-country contemporaneous network shows positive links for education, the temporal network shows significant lagged effects for all four dimensions on quality peace. The between-country network indicates significant direct effects of education and information, on average, and indirect effects of inclusion and engagement, on quality peace.

This approach demonstrates a novel application of multi-level time-series network analysis to explore the dynamic development of quality peace, capturing both stability and change. The analysis illustrates how youth peace-building dimensions impact quality peace in the macro-system globally. This investigation of quality peace thus illustrates that the science of peace does not necessitate violent conflict.

While scales were developed to measure individual adaptive performance (IAP), fewer contributions have been done to assess the construct at the team level of analysis. This issue is addressed through two related studies: Study 1 builds on Pulakos et al. (2000) to develop a measure of IAP. Study 2 follows from the results in Study 1 and tests a measure of team adaptive performance (Chan, 1998).

Scale development was done adopting a single level (Study 1) and multi-level (Study 2) structural equations modeling approach.

Results suggest that both measures of individual and team adaptive performance are reliable and show evidence supporting the adequacy of adopting referent-shift methodologies to the measurement and aggregation of team members’ rating of team adaptive performance.

The study offers a reliable, parsimonious and easy to apply measure of individual and team adaptive performance in organizational work environments.

The purpose of this paper is to outline the various research methods adopted by researchers in studies that have investigated the relationship between human resource management (HRM) practices and organizational commitment (OC).

The authors adopted a comprehensive review that covers empirical research on HRM-OC relationship, which was published between 2001 and 2016 in international peer-reviewed journals. A total of 63 empirical studies were included in this review. Authors adopted content analysis to synthesize the findings on the adopted research methods.

This review clearly indicates the excessive reliance of researchers on specific research methods (i.e. surveys, individual-level analysis, and cross-sectional design). However, there is a steady increase in empirical studies that have adopted mixed-method, multi-actor, and multi-level research designs.

This review has attempted to explore advanced research methods that may offer assistance to overcome methodological limitations of the current HRM-OC literature.

The purpose of this paper is to explore the opportunities of using halal regulation and certification as a mechanism for applying Islamic business ethics in contemporary world.

The current practices of halal regulation and certification and literature on Islamic ethics were reviewed, to identify a practical approach for Islamic business ethics.

Islam allows and accepts different levels of ethical commitment. A multi‐level Islamic ethics framework and a multi‐level halal certification approach are proposed to facilitate the implementation of Islamic business ethics in a relative context. Two major developments can enrich halal business practices: harmonization of global standards and governance structure, and integrating responsibility and ethical issues in halal standards.

The proposed framework and developments can enrich halal regulation and certification practice.

The paper emphasizes the importance of flexibility and adaptability in Islamic business ethics implementation, and proposes a new framework and approach to apply Islamic business ethics.

Industrial organizations often face difficulties in finding out the methods to meet ever increasing customer expectations and to remain competitive in the global market while maintaining controllable expenses. An effective and efficient green supply chain management (GSCM) can provide a competitive edge to the business. This paper focusses on the selection of green suppliers while simultaneously balancing economic, environmental and social issues.

In this study, it is assumed that two types of decision-makers (DMs), namely, the first level and second-level DMs operate at two separate groups in GSC. The first-level DMs always empathise to optimize carbon emissions, per unit energy consumption per product and per unit waste production, while the second-level DMs seek to optimize ordering costs, number of rejected units and number of late delivered units in the entire GSCM. In this paper, fuzzy goal programming (FGP) approach has been adopted to obtain compromise solution of the formulated problem by attaining the uppermost degree of each membership goal while reducing their deviational variables. Furthermore, demand has also been forecasted using exponential smoothing analysis. The model is verified on a real-time industrial case study.

This research enables DMs to analyse uncertainty scenarios in GSCM when information about different parameters are not known precisely.

The proposed model is restricted to vagueness only, however, DMs may need to consider probabilistic multi-choice scenarios also.

The proposed model is generic and can be applied for large-scale GSC environments with little modifications.

No prior attempt is made till date to present interval type-2 fuzzy sets in a multi-objective GSC environment where the DMs are at hierarchical levels. Interval type-2 fuzzy sets are considered as better ways to represent inconsistencies of human judgements, its incompleteness and imprecision more accurately and objectively. Also, crisp or deterministic forms of uncertain parameters have been obtained by taking expected value of the fuzzy parameters.

The purpose of this paper is to examine the state of readiness of the Indian retailing sector for the implementation of mobile retailing applications. It also identifies the most critical success factors (CSFs) for mobile retailing implementation through retailing process reengineering (RPR) framework.

This paper attempts to identify a few CSFs through questionnaire survey and interview, subsequently establishing the inter-factor relationships through interpretive structural modeling framework and computing the priority weights of the interrelated factors using analytic network process. Finally, the authors compute the retailers’ RPR implementation readiness indices for mobile retailing using Multi-Level data envelopment analysis methodology.

The 11 CSFs have been identified. Out of these, two factors namely Strategic Alignment and Management Control and Quality Contribute profoundly for mobile retailing implementation. Finally, a readiness index has been computed for implementation of mobile retailing in the selected retail outlets through RPR framework.

Only a few selected large retail outlets have been considered in this study and the sample size was modest. This study only revolves around the Indian retail sector.

This study can be used as a decision support system for mobile retailing implementation in Indian retail sector. Moreover, based on the results of this study, a few retail outlets are completely ready for mobile retailing implementation. Apart from them, the other retail outlets can improve their readiness index by emphasizing on performance scores of the CSFs.

Due to the scanty literature on mobile retailing, this study contributes to the mobile retailing body of literature in three ways: first, identification of CSFs in mobile retailing; second, interrelationship among the factors; and third, proposes a rational framework to compute retail outlets’ readiness indices for the implementation of mobile retailing through RPR framework.

The purpose of this paper is to focus on the relationship between college and university faculty collegiality, conceptualized as a set of prosocial behaviors, and job satisfaction.

A multi-level structural equation model was developed to examine the relationship between faculty collegiality and job satisfaction at the individual and institutional levels, the effects of gender and race/ethnicity, the effect of institutional type (i.e. research universities vs non-research universities), and whether institutional-level perceptions of faculty collegiality and job satisfaction influence perceptions of faculty collegiality and job satisfaction at the individual level.

Faculty collegiality was highly and significantly related to job satisfaction at the individual level (0.86) and at the institutional level (0.93). At the individual level, pretenured women faculty and faculty of color indicated significantly lower levels of collegiality. At the institutional level, pretenured faculty interactions with tenured faculty colleagues were positively and significantly related to individual-level perceptions of faculty collegiality.

Study limitations include self-report data that were dependent upon accurate responses from faculty participants, and cross-sectional data. Future analyses could extend study findings by examining the influence of faculty collegiality upon such outcomes as faculty productivity and retention in future multi-level analyses.

It is recommended that interventions be undertaken to embed prosocial behaviors into faculty research, teaching, and service activities, and to foster relationships between pretenured and tenured faculty members.

This paper underscores the importance of collecting nationally representative faculty data and conducting rigorous multi-level analyses to inform higher education policy and practice.

The aim of this paper is to explore the implementation issues of the Business Excellence Model and the process of self‐assessment, from both management and employee perspectives, in a large government organisation in the United Arab Emirates (UAE), where the large Government organisation is indicative of the type of large indigenous organisation in the region. The organisation is part of the Dubai Government Excellence Programme (DGEP).

A multi‐level case study approach is used, involving repeated in‐depth interviews with managers (n=12) and a questionnaire with employees (n=96) to explore the implementation issues at all levels.

There was considerable variation in the implementation effectiveness across the different levels within the organisation. The top down approach had a resonance with the Middle East culture at management levels. However, insufficient participation and empowerment of lower level employees, especially amongst non‐indigenous employees, led to a lack of closure on corrective actions emerging from the self‐assessment process. Overall there was an acceptance of the business improvement side of total quality management (TQM) but there was a need for increased cultural acceptance of the people development aspects.

There is a paucity of multi‐level in‐depth studies relating to Business Excellence and self‐assessment in Middle Eastern organisations where a critical cultural perspective is adopted, even though there has been considerable resources expended by Government in initiatives such as the Dubai Government Excellence Programme (DGEP).

In most cases, the conventional assessment of value streams is based on key performance indicators (KPIs) like the share of added value, the degree of flow or a comprehensive lead time analysis. To evaluate cross-enterprise value streams of manufacturing, business or service processes in detail, a holistic methodology is needed. The paper aims to discuss this issue.

In this research paper, the assessment of value streams within complex cross-company networks is described. After a presentation of relevant KPIs in the fields of value stream management (VSM) and supply chain management (SCM), an approach for a cross-enterprise evaluation of value streams on different levels of detail is shown. In addition, the use of an absolute VSM evaluation, in contrast to a relative VSM assessment, is examined.

Based on a uniform and well-balanced set of KPIs and other VSM and SCM parameters, a performance assessment on different levels of value stream detail is enabled. Further investigations reveal the advantages of a relative compared with an absolute VSM assessment.

In addition to a comprehensive overview of existing KPIs for a value stream assessment beyond company borders, a holistic and multi-level VSM approach is presented in this paper. In contrast to existing VSM approaches, the described method allows an evaluation and subsequent improvement of value streams within supply chain networks. Up to now, the presented approach for the assessment of cross-enterprise value streams has only been tested in specific industrial environments. In future, the proposed methodology shall also be validated for other process types like business, service or further manufacturing processes.

The described cross-company performance measurement approach shows a high practical relevance for organizations operating in supply chain networks. Due to the integrated use of different VSM parameters, the evaluation of highly interconnected value streams across corporate boundaries is facilitated. By means of a case study, the proposed methodology is validated under real industry conditions and proves its practical applicability.

One of the novel features of this research is the extension of the traditional VSM method with respect to a relative evaluation of value streams based on a set of significant KPIs. In addition, the allocation of these KPIs to different value stream layers and categories leads to an innovative approach for a multi-level assessment according to the needs of the specific VSM application, e.g. a more standardized use of VSM in complex supply chain networks.