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In the aftermath of data breaches, many firms offer compensation to affected customers to recover from damaged customer sentiments. To understand the effectiveness of such compensation offerings, Goode et al. (2017) examined the effects of compensation offered by Sony following the PlayStation Network breach in 2011. Although Goode et al. (2017) present key insights on data breach compensation, it is unclear whether their findings generalize beyond the context of subscription-based gaming platforms whose customers are young and experience substantial switching costs. To address this issue, we conducted a methodological replication in a retail context with low switching costs.

In our replication, we examine the effects of compensation offered by Home Depot in the aftermath of its data breach in 2014. Home Depot is the largest home improvement retailer in the US and presents a substantially different context. Data were collected from 901 participants using surveys.

Our results were consistent with the original study. We found that in retail breaches, effective compensation needs to meet customers' expectations because overcompensation or undercompensation leads to negative outcomes, such as decreased repurchase intention.

Our study provides insights into the effectiveness of compensation in the retail context and confirms the findings of Goode et al. (2017).

This paper uses a cognitive analytics management approach to analyze, understand and solve the problems facing the implementation of information systems and help management do the needed changes to enhance such a critical process; the emergency management system in the health industry is analyzed as a case study.

Cognitive analytics management (CAM) framework (Osman and Anouz, 2014) is used. Cognitive process: The right questions are asked to understand the behavior of every process and the flow of its corresponding data; critical data variables were identified, guidelines for identifying data sources were set. Analytics process: Techniques of data analytics were applied to the selected data sets, problems were identified in user–system interaction and in the system design. The analysis process helped the management in the management process to make right decisions for the right change.

Using the CAM framework, the analysis to the Lebanese Red Cross case study identified system user-behavior problems and also system design problems. It identified cases where distributed subsystems are vulnerable to time keeping errors and helped the management make knowledgeable decisions to overcome major obstacles by implementing several changes related to hardware design, software implementation, human resource training, operational and human-technology changes. CAM is a novel and feasible software engineering approach for handling system failures.

The paper uses CAM framework as an approach to overcome system failures and help management do the needed changes to enhance such a critical process. This work contributes to the software engineering literature by introducing CAM as a new agile methodology to be used when dealing with system failures. Furthermore, this study is an action research that validated the CAM theoretical framework in a health emergency context in Lebanon.

Country image (CI) has been one of the most studied topics in international business, marketing, and consumer behaviour of the past five decades. Nevertheless, there has been no critical assessment of this field of research. The purpose of this paper is to understand the status and evolution of CI research.

The authors review 554 articles published in academic journals over 35 years. The authors examine publication, authorship, and research procedure trends in these articles as an empirical and quantitative assessment of the field. The authors identify weaknesses and strengths, and the authors address disconcerting and encouraging trends.

The authors find a number of laudatory trends: CI research is becoming less US-centric, more theory driven, more sophisticated in methodology, evaluating more diverse product categories, and making use of multiple cue studies. There are, however, two major methodological concerns: poor replication and questionable generalizability of findings. The authors also noted the influence of CI articles has been decreasing, as well as their rate of publication in top tier journals.

Since the authors present data that reflect actual practices in the field and how such practices have changed across time, the authors believe the study is of substantial value to CI researchers, journal editors, and instructors whose curriculum includes CI. The critical assessment and subsequent recommendations are accordingly empirically justified.

In this chapter, the authors enter the world of ballet to be inspired by artistic teams. This original point of view proposes a complementary understanding of the dynamics of routines replication where preserving the authenticity of the project’s intent is emphasized over economic efficiency considerations.

The authors propose that analyzing the remounting of a ballet as an in-depth extreme case study provides an opportunity to learn more about other aspects that can be relevant in transfer stories: the importance accorded to the intent of the routine to be transferred; the existence of a dialogical dynamic that engages artifacts and memories of this intent; the existence of a meta-routine that structures and enables the transfer of sub-routines across geographical distance in another context. The authors will see that, in this case, routines replication is also made possible through sharing of a routine’s ostensive aspect which is embedded in a professional culture.

The overarching priority in remounting a show is strict respect for the choreographer’s original intent. As replicator and imitator teams encounter the consequences of a new location and its characteristics, the authors will examine how they face the replication dilemma, coordinate themselves, and use innovation to achieve replication.

Computer-aided design and additive manufacture (CAD/AM) technologies are sufficiently refined and meet the necessary regulatory requirements for routine incorporation into the medical field, with long-standing application in surgeries of the maxillofacial and craniofacial regions. They have resulted in better medical care for patients and faster, more accurate procedures. Despite ever-growing evidence about the advantages of computer-aided planning, CAD and AM in surgery, detailed reporting on critical design decisions that enable methodological replication and the development and establishment of guidelines to ensure safety are limited. This paper aims to present a novel application of CAD and AM to a single-stage resection and reconstruction of fibrous dysplasia in the zygoma and orbit.

It is reported in sufficient fidelity to permit methods replication and design guideline developments in future cases, wherever they occur in the world. The collaborative approach included engineers, designers, surgeons and prosthetists to design patient-specific cutting guides and a custom implant. An iterative design process was used, until the desired shape and function were achieved, for both of the devices. The surgery followed the CAD plan precisely and without problems. Immediate post-operative subjective clinical judgements were of an excellent result.

At 19 months post-op, a CT scan was undertaken to verify the clinical and technical outcomes. Dimensional analysis showed maximum deviation of 4.73 mm from the plan to the result, while CAD-Inspection showed that the deviations ranged between −0.1 and −0.8 mm and that the majority of deviations were located around −0.3 mm.

Improvements are suggested and conclusions drawn regarding the design decisions considered critical to a successful outcome for this type of procedure in the future.

This study investigates the level of variance in the real time demand for bagged cement, induced in response to the climatic sequence of the humid tropics, to support best practice calls for a weather-responsive supply chain strategy.

Data on the consumption of cement and site works for 100 ongoing building construction sites were gathered for a period of 12 months. The variance partitioning capabilities of the Ordinary Least Squares and Hierarchical Linear Modelling forms of regression analysis are comparatively used to evaluate the sensitivity of cement demand to the meteorological profile of wet-humid climate

The study outcome provides statistical evidence demonstrating that the meteorological profile of wet-humid climate induces a significantly high percentage of the variance in the real-time demand for bagged cement on construction sites. However, nested within this variance, are the fixed effects of the cement footprint of the building architecture inherent in the locality. Particularly, positive changes to reduce the wet trade composition of buildings or compensating changes in technological bias, are necessary to combat weather interference in the humid tropics.

The findings are exploratory, and not for the purposes of holistically forecasting cement demand, and can therefore only form part of a more comprehensive decision support system, bespoke to the study area.

The study outcome provides a back-end view to climatic adaptation in wet humid settings, making a compelling case for localized climate-risk adaptive supply chain strategies and policies geared towards sustainability in cement usage.

The study delineates the confounding impact of weather, distinct from local building architecture and technological bias, thus creating a methodological platform for replication and comparative productivity studies in diverse geographical areas.

This study aims to conceptualize and measure strategic leadership capabilities within research and development (R&D) teams pursuing high-tech innovation at public-funded R&D organizations in India.

A rigorous five-stage multi-method approach defines, conceptualizes and validates the core construct “strategic leadership capabilities for innovation” (SLCI). The first stage correlates the insights generated from theoretical analysis and expert opinions on the importance of leadership for innovation. The second study identifies a three-dimensional factor structure underlying the SLCI construct and the third validates it through a confirmatory factor analysis. Replication provides additional validation.

SLCI emerges as a three-dimensional construct with sub-dimensions: dynamic envisioning, ambidextrous resource utilization and empowering support for innovation.

Conceptualization of the SLCI construct and its measurement through a 15-item scale that has been empirically validated in the public-funded R&D organizations in India.

Purpose – To provide classroom teachers with the rationale and methods necessary to grow the engagement of struggling readers.Design/methodology/approach – The chapter is organized as a series of mini case studies.Findings – Provides a comprehensive description of the methods/practices used with each student or group of students in order to encourage methodological replication.Research limitations/implications – This is not an exhaustive overview of engaging methods, but the case studies should be familiar to classroom teachers and reading specialists. The authors carefully explain how the methods were differentiated for each student or group of students. In addition, the methods are described in sufficient detail so as to ensure that readers can utilize the methods and/or practices with their struggling readers.Practical implications – The chapter advocates that classroom teachers and/or reading specialists carefully consider motivation when planning intervention. The crafted case studies illuminate how such planning and delivery might be implemented.Originality/value of chapter – In order for struggling readers to engage with text for purpose and pleasure, a responsive approach is necessary. Such an approach considers motivation as a critical competent of effective intervention.

This research aims to replicate the work of Oberholster et al. (2013) on expatriation motivation through a generalization and extension replication. Additionally, it aims to contribute to the Self-Initiated Expatriates (SIEs) literature by studying the Basic Psychological Needs (BPNs) of SIEs as proposed by the Self-Determination Theory (SDT).

This research used Latent Class Analysis (LCA) with covariate estimation to create five clusters based on survey data from 179 SIEs. Additionally, the replication procedure followed recommendations by Dau et al. (2022) to produce a constructive replication.

Besides validating clusters in the original study, one new cluster was found. Furthermore, identifying the BPNs of the clusters helped in understanding the mechanism that motivates them.

By studying the BPNs as per the SDT, this research contributes to our understanding of the psychological factors that shape expatriates' motivations and experiences. This can inform the knowledge developed in the international mobility theories and the models related to SIEs' psychological well-being.

Building on the results of this research, organizations can tailor recruiting and retaining strategies to the specific BPNs of different SIEs groups. Organizations can motivate SIEs, enhance their job satisfaction and loyalty, predict their success, and support their psychological well-being.

A generalization and extension replication value lies in testing the validity and reliability of previous findings in new contexts. The originality in this research stems from its utilization of the BPNs from SDT to explain SIEs' motivation and evaluate their psychological well-being.

The relationships between the Big Five personality traits and life and job satisfaction have been examined extensively. Despite this attention, however, most existing theories focus on a few global dimensions of the Big Five while relying primarily upon a selection of theoretically relevant but unmeasured facets to illuminate their factor-level explanations. The purpose of this paper is to examine personality–satisfaction relationships for job and life domains at the facet level to better identify and explain why certain global Big Five traits consistently relate to satisfaction, taking both factors and facets into account.

Data from over 20 specific occupational samples were pooled meta-analytically to examine personality facet of job/life satisfaction relationships and their generalizability. Bifactor latent variable modeling using meta-analytic input was used to examine independent contributions of general and unique personality facets.

The dominance facet of extraversion, low self-esteem facet of neuroticism, and responsibility facet of conscientiousness were most closely related to satisfaction variables. There were independent contributions of general and unique facet level personality–satisfaction relations for the neuroticism and conscientiousness domains, but not for the extraversion domain.

Findings contribute to the literature on the bandwidth–fidelity dilemma in measuring personality and theories involving personality at work.

This study established the generalizability of Big Five traits–satisfaction relations and identified the empirically supported personality paths to understanding job and life satisfaction. This study also demonstrated how meta-analysis can be combined with bifactor models to understand substantive relations.