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The purpose of this paper is to use empirical data on new principals to clarify the connection between different succession situations and the challenges their successor principals face.

The study draws on two waves of interview data from a random sample of 16 new elementary school principals in a major urban school district in the USA.

New principals face distinct practice challenges depending on the nature of their successions. The less planned the succession, the less information and knowledge the new principal tends to possess. The more discontinuous the new administration’s trajectory is with the previous administration, the greater the staff resistance that the successor principal tends to face.

Few studies systematically examine how succession situations differ in schools that are in need of transformation vs those in need of stability. This study addresses this gap by illuminating the varied processes of succession and highlighting specific mechanisms that link these processes to different organizational trajectories.

For district officials, this study suggests that principals in unplanned successions need greater support in quickly gathering information about their new schools while principals in discontinuous successions need greater expertise in how to balance trust-building and accountability in their attempts to promote transformational change.

This study’s primary value is its detailed articulation of how certain characteristics of succession situations are associated with specific types of challenges. Only studies at this level of specificity can be effective guides to practitioners and policymakers who are charged with preparing, selecting, and supporting new principals and their schools.

This study investigated the viability of using a Pan‐European approach for professional service offerings in Europe by first establishing measurement equivalence and then exploring the influence of culture on service quality and customer satisfaction. Utilizing scenarios involving a dental office visit, respondents from Portugal, France, and Germany participated in a 2X2 factorial experiment in which the researchers manipulated both expectations (low/high) and service performance (low/high). Respondents from France and Portugal expressed similar levels of customer satisfaction and perceived service quality, which were significantly different from those of the German respondents except when both expectations and performance were low.

The purpose of this paper is to show how to properly use the method of replacement to construct mixed two- and four-level minimum setup split-plot type designs to accommodate the presence of hard-to-assemble parts.

Split-plot type designs are economical approaches in industrial experimentation. These types of designs are particularly useful for situations involving interchangeable parts with different degrees of assembly difficulties. Methodologies for designing and analyzing such experiments have advanced lately, especially for two-level designs. Practical needs may require the inclusion of factors with more than two levels. Here, the authors consider an experiment to improve the performance of a Baja car including two- and four-level factors.

The authors find that the direct use of the existing minimum setup maximum aberration (MSMA) catalogs for two-level split-plot type designs may lead to inappropriate designs (e.g. low resolution). The existing method of replacement for searching exclusive sets of the form (α, β, αβ) available in the literature is suitable for completely randomized designs, but it may not provide efficient plans for designs with restricted randomization.

The authors provide a general framework for the practitioners and have extended the algorithm to find out the number of generators and the number of base factor at each stratum, which guide the selection of mixed two-level and four-level MSMA split-plot type designs.

The purpose of this paper is twofold, first providing researchers with an overview about the uncertainties occurred in procurement including applicable approaches for analyzing different uncertain scenarios, and second proposing directions to inspire future research by identifying research gaps.

Papers related to supply chain risk management and procurement risk management (PRM) from 1995–2017 in several major databases are extracted by keywords and then further filtered based on the relevance to the topic, number of citations and publication year. A total of over 156 papers are selected. Definitions and current approaches related to procurement risks management are reviewed.

Five main risks in procurement process are identified. Apart from summarizing current strategies, suggestions are provided to facilitate strategy selection to handle procurement risks. Seven major future challenges and implications related PRM and different uncertainties are also indicated in this paper.

Procurement decisions making under uncertainty has attracted considerable attention from researchers and practitioners. Despite the increasing awareness for risk management for supply chain, no detail and holistic review paper studied on procurement uncertainty. Managing procurement risk not only need to mitigate the risk of price and lead time, but also need to have sophisticated analysis techniques in supply and demand uncertainty.

The contribution of this review paper is to discuss the implications of the research findings and provides insight about future research. A novel research framework is introduced as reference guide for researchers to apply innovative approach of operations research to resolve the procurements uncertainty problems.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

The purpose of this paper is to assess perceptions of organizational readiness to integrate clinic-based community health workers (cCHWs) between traditional CHWs and potential cCHW employers and their staff in order to inform training and implementation models.

A cross-sectional mixed-methods approach evaluated readiness to change perceptions of traditional CHWs and potential employers and their staff. Quantitative methods included a printed survey for CHWs and online surveys in Qualtrics for employers/staff. Data were analyzed using SPSS software. Qualitative data were collected via focus groups and key informant interviews. Data were analyzed with NVIVO 11 Plus software.

CHWs and employers and staff were statistically different in their perceptions on appropriateness, management support and change efficacy (p<0.0001, 0.0134 and 0.0020, respectively). Yet, their differences lay within the general range of agreement for cCHW integration (4=somewhat agree to 6=strongly agree). Three themes emerged from the interviews which provided greater insight into their differences and commonalities: perspectives on patient-centered care, organizational systems and scope of practice, and training, experiences and expectations.

Community health workers serve to fill the gaps in the social and health care systems. They are an innovation as an emerging workforce in health care settings. Health care organizations need to learn how to integrate paraprofessionals such as cCHWs. Understanding readiness to adopt the integration of cCHWs into clinical settings will help prepare systems through trainings and adapting organizational processes that help build capacity for successful and sustainable integration.

On April 2, 1987, IBM unveiled a series of long‐awaited new hardware and software products. The new computer line, dubbed the Personal Systems 30, 50, 60, and 80, seems destined to replace the XT and AT models that are the mainstay of the firm's current personal computer offerings. The numerous changes in hardware and software, while representing improvements on previous IBM technology, will require users purchasing additional computers to make difficult choices as to which of the two IBM architectures to adopt.

The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.

To illustrate the use of AI-enabled content analysis, this paper examines the text of leadership speeches, content related to organizational brand. The process and results of using AI are compared to manual and computer-aided approaches by using three performance factors for content analysis: reliability, validity and efficiency.

Relative to manual and computer-aided approaches, AI-enabled content analysis provides clear advantages with high reliability, high validity and moderate efficiency.

This paper offers three contributions. First, it highlights the continued importance of the content analysis research method, particularly with the explosive growth of natural language-based user-generated content. Second, it provides a road map of how to use AI-enabled content analysis. Third, it applies and compares AI-enabled content analysis to manual and computer-aided, using leadership speeches.

For each of the three approaches, nine steps are outlined and described to allow for replicability of this study. The advantages and disadvantages of using AI for content analysis are discussed. Together these are intended to motivate and guide researchers to apply and develop AI-enabled content analysis for research in marketing and other disciplines.

To the best of the authors’ knowledge, this paper is among the first to introduce, apply and compare how AI can be used for content analysis.

Many countries are developing primary care collaborative memory clinics (PCCMCs) to address the rising challenge of dementia. Previous research suggests that quality assurance should be a foundational element of an integrated system of dementia care. The purpose of this paper is to understand physicians’ and specialists’ perspectives on such a system and identify barriers to its implementation.

The authors used interviews and a constructivist framework to understand the perspectives on a quality assurance framework for dementia care and barriers to its implementation from ten primary care and ten specialist physicians affiliated with PCCMCs.

Interviewees found that the framework reflects quality dementia care, though most could not relate quality assurance to clinical practice. Quality assurance was viewed as an imposition on practitioners rather than as a measure of system integration. Disparities in resources among providers were seen as barriers to quality care. Greater integration with specialists was seen as a potential quality improvement mechanism. Standardized electronic medical records were seen as important to support both quality assurance and clinical care.

This work identified several challenges to the implementation of a quality assurance framework to support an integrated system of dementia care. Clinicians require education to better understand quality assurance. Additional challenges include inadequate resources, a need for closer collaboration between specialists and PCCMCs, and a need for a standardized electronic medical record.

Greater health system integration is necessary to provide quality dementia care, and quality assurance could be considered a foundational element driving system integration.

This paper aims to critically review the most cited literature published from 2000 to 2020 in 24 top-ranked marketing journals on the three most studied branding concepts of the 21st century – brand equity, brand loyalty and brand image – to explore how in these papers they have been defined, measured and examined, and propose how they should move forward in an era where brands are expected to be “socially and socio-politically conscious.”

For each concept a systematic literature review is conducted. In doing so, the definitions, antecedents, outcomes and measures for each concept were accessed and synthesized.

The systematic literature reviews provide a “state-of-the-art” snapshot of each concept and collectively demonstrate there is no consensus on the independence and interdependence of these dynamic multidimensional concepts. Based on the recommended process in the measurement literature, an evolved definition of each concept is proposed. In addition to the corresponding research directions presented in the moving forward sections of each systematic literature review, common research avenues emerged.

This paper acknowledges these three branding concepts as dynamic (i.e. evolving over time), systemically reviews and synthesizes the extant literature, and provides a path forward to defining, measuring and exploring brand equity, brand loyalty and brand image in the present era where brands are expected to be socially and socio-politically conscious with responsibilities to the planet, people and profit.