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Senior buildings have been designed as purposeful space programs. Therefore the elderly need coherent information about different senior housing concepts. The study seeks to set out a method for measuring the quality level of senior housing.

The method includes measuring four different factors: local services, building and yard, apartment, and on‐site services. Measuring the quality level of two separate residential areas and senior housing facilities demonstrates the use of the quality level measurement system.

The overall quality level of Facility 1 was significantly lower than that of Facility 2. The lower quality level measurement for Facility 1 was primarily the result of the lack of premises for lease to commercial or other tenants and the lack of on‐site services. The quality level measurement system is a successful tool for assessing the functioning and quality standard of residential areas and housing facilities in the point of view of elderly people.

This study has developed a unique application for measuring the quality level of residential areas and senior housing facilities. The measurement system is useful for estimating the quality level of a facility and also for analyzing different quality level factors to identify possible problems. While the intention is to provide a method primarily for expert assessments, seniors and their relatives could also use the method as an aid in weighing up the suitability of different senior housing facilities.

This chapter from a brief review of the relevant literature on the energy markets points out the changes in the relationships between energy companies and customers through the Web. The objective is to highlight the changes of the energy markets thanks to the web demonstrating that it is able to ensure the raising of the switching rates and hence the competition, goal of the liberalization of public services. To this end, the authors will use secondary data from Accenture researches about the perceptions of customers and energy companies around the relations established via the web, and the CUAC for the switching mode performed in the State of Victoria in Australia.

This paper investigates the logistics management in the e-grocery sector. It contrasts the key issues faced by practitioners and the topics addressed in the academic literature, to identify potential misalignments between research and practice and propose avenues for future efforts.

This work adopts a twofold methodological approach. From an academic perspective, a systematic literature review (SLR) is performed to define the topics addressed so far by scholars when analysing e-grocery logistics. From a managerial perspective, a Delphi study is accomplished to identify the most significant issues faced by logistics practitioners in the e-grocery context and the associated significance.

The study develops a conceptual framework, identifying and mapping the 9 main logistics challenges for e-grocery along 4 clusters, in the light of a logistics-related revision of the SCOR model: distribution network design (area to be served, infrastructures), order fulfilment process (picking, order storage, consolidation, delivery), logistics-related choices from other domains (product range, stock-out management) and automation. These elements are discussed along three dimensions: criticalities, basic and advanced/automation-based solutions. Finally, the main gaps are identified – in terms of both under-investigated topics (order storage and stock-out management) and investigated topics needing further research (picking and automation) – and research questions and hypotheses are outlined.

This paper provides a threefold contribution, revolving around the developed framework. First, it investigates the state of the art about e-grocery logistics, classifying the addressed themes. Second, it explores the main issues e-grocery introduces for logistics practitioners. Third, it contrasts the two outcomes, identifying the misalignment between research and practice, and accordingly, proposing research directions.

The purpose of this paper is to examine the use of a strategic approach (contingency planning) to minimize risk exposure to a supply chain disruption. Specifically, the relationship between several attributes of a contingency planning process and flexibility are examined.

This effort develops a model that will provide both researchers and practitioners a means of determining the attributes with the highest relationship to flexibility. The model is then tested using multiple regression techniques.

Based on the sample used in this survey, top management support, resource alignment, information technology usage, and external collaboration provide the largest contributions to flexibility. Flexibility has been shown to enhance the ability to minimize risk exposure in the event of a supply chain disruption.

In this research effort, the multiple regression results produced an R² of 0.45, indicating that additional variables of interest may need to be identified and investigated. Furthermore, a wider range of respondents could make the results more generalizable.

This effort will help to allow managers at multiple levels to understand the primary planning attributes to use to increase flexibility.

The paper develops a model that can be used to identify the specific areas that can lead to improved flexibility. Based on the model, managers, and planners can develop appropriate strategies for minimizing risk exposure in the event of a supply chain disruption.

This study aims to examine the predictive power of childhood adversity and severity of positive symptoms on suicidality, controlling for selected sociodemographics factors, among hospitalized patients diagnosed with schizophrenia in Jordan.

This study used a descriptive-explorative design. The study was conducted at two major psychiatric hospitals in Jordan. The targeted sample was 66 patients diagnosed with schizophrenia. Data was collected using a structured format in the period February–April 2024.

A two-step multiple hierarchical regression analysis was conducted. In the first model, childhood adversity and the severity of positive symptoms were entered. In the second model, sociodemographic variables were entered. The analysis revealed that the first model (F = 5.35, p = 0.007) was statistically significant. The second model (F = 717, p < 0.001) was statistically significant. Furthermore, the analysis revealed that childhood adversity was not a significant predictor for suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality. The analysis revealed that childhood adversity was not a significant predictor of suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality.

One limitation of this study is related to the sample and the setting where there were only 66 patients recruited from governmental hospitals within inpatient wards. Thus, the upcoming studies should include more participants from private hospitals and different hospital settings including outpatient and emergency departments.

The research provides empirical insights that positive symptoms, age hospitalization and schizophrenia diagnosis length were significant predictors of suicidality. At the same time, childhood adversity was not a significant predictor of suicidality.

The current research contributes to expanding mental health studies. Moreover, this study enlarges the body of knowledge in the academic world and clinical settings. It supports the disciplines of psychology, mental health and social sciences by increasing knowledge of the complicated relationships among childhood adversity, positive symptoms and suicidality.

This paper fulfills an identified need to study childhood adversity with comorbid psychiatric disorders such as schizophrenia, as well as psychiatric mental health covariates.

Theory is needed for a discipline to mature. This research aims to provide a summary analysis of the theories being used in contemporary logistics and supply chain management (SCM) studies.

A comprehensive literature review of articles appearing in five top tier logistics and SCM journals is conducted in order to identify how often theory is used and to classify the specific theories used. An analysis of the theoretical categories is presented to explain the type and frequency of theory usage.

Over 180 specific theories were found within the sampled articles. Theories grouped under the competitive and microeconomics categories made up over 40 per cent of the theoretical incidences. This does not imply all articles utilize theory. The research found that theory was explicitly used in approximately 53 per cent of the sampled articles.

Two implications are central. First, in the minds of editors, reviewers and authors is approximately 53 per cent theory use enough? Literature suggests there continues to be a need for theory‐based research in the discipline. A first step may be to increase our theory use, and to clearly describe the theory being used. Second, the vast majority of theories used in recent logistics and SCM research originated in other disciplines. Growth in the discipline dictates the need for greater internal theory development.

Despite multiple calls for the use of theory in logistics and SCM, little formal research has been produced examining the actual theories being used. This research provides an in‐depth review and analysis of the use of theory in logistics and SCM research during the period 2004‐2009.

The purpose of this paper is to investigate the relationship between environmental uncertainty, information quality, and proactive logistics practices on supply chain flexibility.

A survey of 75 Indian small-scale manufacturers in Coimbatore (Southern India) was conducted.

India, which is a thriving emerging economy, is an ideal location for this study. Results indicate that if managers wish to ensure improved supply chain flexibility, firms must work to improve information quality.

The small sample size is a limitation of the study, so too is the narrow sector targeted (small-scale manufacturing).

The results reinforce the fact that supply chain management has many elements that can impact a manufacturing firm's responsiveness, which is especially true in an emerging market like India.

The paper is one of the first to survey small-scale manufacturing executives regarding their acceptance of and use of supply chain concepts under environmental uncertainty.

The purpose of this paper is to examine the mechanisms through which the use of enterprise systems (ESs) enhances buyer-supplier integration (BSI). More specifically, the authors explain a model where ES enhances BSI indirectly, mediated by inventory management capabilities (IMCs), as the way ES enhances BSI remains under-explored in the literature.

Application of the resource orchestration framework to explain how capabilities and mechanisms interplay to enhance BSI. Data were collected by means of a survey instrument. Data collection took place as part of a larger project, sponsored by the Spanish Government, to evaluate logistics competitiveness in Spain.

ES enhances BSI by serving as a coordinating mechanism that maintains capability configurations in a value-creating alignment. IMC plays a key, yet under-explored role as a mediating mechanism that supports ES-enabled BSI.

First, this research does not fully capture the multi-party nature of the supply chain context. Second, data collection was limited to companies that were more likely to have a systematic approach to logistics issues (i.e. large- and medium-sized companies) and companies based in Spain.

This paper enhances both scholarly and practitioner understanding of the mechanisms through which the implementation and use of ES contributes to BSI. In addition, this paper integrates literature from different fields (e.g. strategy, information systems, and operations) to gain a better understanding of how the implementation and use of ES affects BSI.

The purpose of this paper is to classify research on information and communication technology (ICT) for logistics and freight transportation on the basis of the main themes and methods and proposes directions for future research.

The review is based on 44 papers published from 1994 to 2009 in international peer‐reviewed journals. The academic papers are analysed and classified according to the research methodology adopted and the themes addressed.

While there are many contributions taking the “public transportation” perspective (i.e. the viewpoint of public stakeholders), papers focussing on the “private transportation” perspective (i.e. the viewpoint of the private companies offering logistics and transportation services) are fewer and relatively more recent. Additionally, even though in recent years researchers have also started to examine the decision‐making process of ICT adoption, many themes are under‐represented in literature, such as the subject of integration among different application types, empirical research on ICT adoption and the role of technology providers in the adoption process. As far as the methodology is concerned, the review revealed that many of the papers examined are either conceptual papers or empirical studies (i.e. mostly based on surveys, or else on case studies or interviews), while simulation and modelling are rarely present.

While efforts were made to be all‐inclusive, significant research efforts may have been inadvertently omitted. However, the authors believe that this review is an accurate representation of the body of research on ICT for logistics and transportation companies published during the specified timeframe, and feel that confidence may be placed on the resulting assessments.

The paper offers a guide for the review of previous research on this topic and identifies the most important issues that need to be addressed in future research.

The purpose of this paper is to explore how different determinants impact specific information quality (IQ) dimensions of shared demand-related information in dyadic supply chain relationships.

Through a qualitative case study of three manufacturer–supplier dyads in the European automotive industry, a range of methods are used to collect data about 168 possible IQ deficiency situations. IQ deficiencies are identified in 50 situations and determinants thereof are explored.

Findings show how inter-organisational collaboration, intra-organisational process support and composite information sharing directly impact five pragmatic IQ dimensions (relevance, accessibility, credibility, understandability and ease of operation) – at times beneficially, detrimentally, varyingly and conflictingly. Furthermore, the findings show how the determinant impact on ease of use-related IQ dimensions is moderated by information sharing facets.

The paper extends previous research by showing how information sharing acts as both a determinant and moderator of pragmatic IQ. It furthermore details previous research by showing how previously examined determinants of IQ impact specific IQ dimensions.

The generated propositions of how determinants impact pragmatic IQ can guide managers to identify key drivers of successful information sharing.

Since IQ mediates the linkage between information sharing and performance, this research helps explaining conflicting results regarding the value of information sharing. It also guides several strands of future research, such as hypothesis testing and exploratory and conceptualising studies.