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This paper aims to discuss the development and use of a green logistics performance index (GLPI) for easy comparison of performance among industries and countries. It uses the survey data collected from the home electronic appliance industry in China and Japan as an example to demonstrate the index development process and compare the performance of green logistics (GL) practices between the two countries using the proposed index.

Two‐sample t‐test and one‐way analysis of variance (ANOVA) were used to analyse the data collected from a questionnaire survey. Principal component analysis (PCA) was employed to derive the weights from the survey data for the GLPI.

The findings reveal that the GLPI derived using PCA is robust and gives similar results as obtained through two‐sample t‐test and ANOVA of the dataset in the comparison of performance among firms and between countries in the study.

This study lends insight into the use of an objectively derived composite index to measure and compare GL performance. To serve mainly as a proof of concept and to enhance response rate in the questionnaire survey, the scope of the study is limited to three major logistics functions in an industry in two countries.

Managers can use the GLPI to benchmark their performance in the respective logistics areas and revise their supply chain strategy accordingly. The proposed index may also assist governments in formulating policies on promoting their GL implementation.

A comprehensive composite index to benchmark GL performance can facilitate and encourage industries to invest in GL. This will help reduce negative impacts of logistics activities on the environment.

Research in GL to date has largely focused on theory and management approach. This paper fills the gap in the literature by empirically comparing GL performance among firms and countries through the use of a composite index. It also contributes to a better understanding of the association between GL performance and firm size as well as the driving factors behind it.

Evaluation and evaluative design aim to assess the impact of programmes, services and interventions. Underpinned by programme logics and theories of change, evaluation aims to assess intervention effectiveness and to determine an intervention’s capacity to produce the intended change and achieve ‘success’. This chapter is focused on evaluative data and the stories that data and its production make (in)visible and the excess data that gets left behind. I document the ways that health interventions use evidence and the shifts in evaluation towards making sense of the complex contexts and systems where interventions are embedded. Taking digital health interventions as an example of a critical contemporary shift in health, I examine the ways digital data is used to offer ‘evidence’ of interventions and how data excess emerges in evaluative research where potentially useful data is not collected or is ignored as seemingly irrelevant. Here, I situate excess in two ways. The first is in relation to the broadening of data that emerges with new digital technologies and what it promises. The second form of excess is data about social life, complexity and practices, which can get left behind when there is a focus on the ‘digital’. I argue that continuing to interrogate the use(s) of digital data is critical for situating health within complex contexts and social practices of everyday life. Excess offers a useful framing to make sense of data and its (non)uses and the implications of such actions in evaluative research.

Theories of crime and delinquency tend to be discipline‐specific and are dominated by psychological, sociological, and economic approaches. The focus of this article will be on an economic approach to understanding criminal behavior and the design of effective policies for dealing with the problem of criminal activity. From an economic perspective, crime is rational behavior, a choice that is made by people in deciding how best to spend their time. In making the choice, individuals consider the benefits and costs of using their time in different ways: working legally, working illegally, or not working at all. This article examines the correlations between economic variables and a broad measure of crime, the property crime rate. The results reveal that even a very parsimonious model, which includes the poverty rate, gross domestic product, and drug seizures, can explain nearly 75 percent of the variation in the crime rate over an 18‐year period.

Networked forms of organizing in health care are increasingly viewed as an effective means of addressing “wicked”, multifaceted health and societal challenges. This is because networks attempt to address these challenges via collaborative approaches in which diverse stakeholders together define the problem(s) and implement solutions. Consequently, there has been a sharp increase in the number and types of networks used in health care. Despite this growth, our understanding of how these networks are governed has not kept pace. The purpose of this chapter is to chart a research agenda for scholars who are interested in studying health care network governance (i.e., the systems of rules and decision-making within networks), which is of particular importance in deliberate networks between organizations. We do so based on our knowledge of the literature and interviews with subject matter experts, both of which are used to identify core network governance concepts that represent gaps in our current knowledge. Our analysis identified various conceptualizations of networks and of their governance, as well as four primary knowledge gaps: “bread and butter” studies of network governance in health care, the role of single organizations in managing health care networks, governance through the life-cycle stages of health care networks, and governing across the multiple levels of health care networks. We first seek to provide some conceptual clarity around networks and network governance. Subsequently, we describe some of the challenges that researchers may confront while addressing the associated knowledge gaps and potential ways to overcome these challenges.

The current report is intended to provide a narrow, brief summery of research presented at the annual conference of the Society for Industrial and Organizational Psychology regarding women in organizations.

The conference, which broadly seeks to inform the science and practice of human well‐being and performance in organizations and draws thousands of participants from academic, consulting, and government agencies, included over 35 symposia, posters, and meetings related to diversity in organizations.

Research presented provided empirical evidence that women continue to face subtle forms of discrimination and that there are consequences for such women and their employing organizations.

More multidisciplinary theory and research is needed to identify and develop effective strategies for the reduction of gender discrimination and the achievement of equal opportunities for men and women.

In summary, the SIOP conference continues serves as an incubator for research and practice regarding diversity in organizations. In particular, this year's meeting contributors provided empirical evidence that subtle discrimination toward women in organizations persists and that perceptions of bias can lead to negative attitudes and behaviors.

Green transformation is more than simply a trend; it is a way of life, a set of habits, a field of knowledge and a dedication to resource conservation. Going green is surely a creative and transformative process for both individuals and organizations. This paper aims to “identify,” “analyse” and “categorise” the readiness factors for green transformation process in health care using total interpretive structural modelling (TISM) and neutrosophic-MICMAC.

To address the study objectives, the study used TISM and neutrosophic-MICMAC analysis. To identify the readiness factors, a literature study was conducted, and the factors were face-validated by the healthcare experts. The factors influence on one another were captured by using a scheduled interview with a closed ended questionnaire. The TISM addressed the identification and analysing of factors and the categorization and ranking the readiness factors is addressed by using neutrosophic-MICMAC analysis.

This study identified 11 green transformation process readiness factors for healthcare organizations. The study states that the key factors or driving factors are awareness of green governance principle, environment leadership and management, green gap analysis, information and communication technology and innovation dynamics.

The factor ranking is sensitive to the respondents’ ratings. The study relied on the past literature and experts’ opinion may result in the subjective biases. The complex nature of healthcare ecosystem challenges to capture all the factors. The study focussed on Indian hospitals.

Study significantly impacts the healthcare practitioners, academicians and policymakers by providing critical insights into the readiness factors required for the healthcare green transformation process. The study offers a better understanding of the crucial or key or driving factors that aid in embracing green and sustainable practices.

Identifying a gap in conceptual and theoretical frameworks for green transformation readiness factors in healthcare organizations and in Indian context. The study addresses this gap by aiming to create a thorough theoretical framework and highlighted by its focus on Indian hospitals.

The purpose of this paper is to examine the role of green intellectual capital in fostering societal sustainability. Also, this study investigated how co-creational customer capital mediates the relationship between green intellectual capital and societal sustainability. The paper draws attention to co-creating customer capital and understanding its impact on societal sustainability in high-contact service startups.

Data were collected from responses from 376 high-contact service startup firms headquartered in the Indian subcontinent, particularly emerging markets. The proposed conceptual model was analyzed using the partial least squares structural equation modeling (PLS-SEM) approach. The analysis is based on primary data obtained from strategic-level employees.

The results highlight the impact of co-creational customer capital in the Green Intellectual Capital – Societal Sustainability (GICS) model. Green intellectual capital components significantly influence societal sustainability outcomes in the existence of co-created customer values. It establishes customer capital as an essential factor that mediates the relationship between green intellectual capital and societal sustainability.

This research provides conceptualization and subsequent investigation of customer value creation in service-led startups. The construct co-creation is more appropriate for the service industry in common.

This paper establishes co-created customer capital as an enabler in transforming underlying components of green intellectual capital into societal sustainability measures. Firms may generate higher customer value by pooling green human and relational capital along with active customer response and shared knowledge. This creates an organizational asset termed co-created customer capital specific to service industries.

The article proposes a novel way to analyze customer value in service organizations. To the best of the authors’ knowledge, no study has looked at how co-creational customer capital could act as a mediator between green intellectual capital and societal sustainability in the service industry context, particularly for SMEs and startups from emerging economies. Co-created customer capital may be used as an instrument to overcome managerial challenges in the context of transforming green intellectual capital into societal capital.

The purpose of this study is to suggest an approach to regain consumer trust after negative effects of greenwashing that draws corporations and consumers into a conflicted relationship.

The authors collect and interpret qualitative data from in-depth interviews to develop a theoretical approach that enables the rebuilding of trust between greenwashing corporations and their consumers using the concept of psychological resilience.

This analysis indicates that the approach is an interaction between consumers with green brand loyalty and greenwashing corporations. This type of consumer demands emotional factors, functional factors and legitimate factors in the process of psychological resilience, and after greenwashing, corporations should select appropriate recovery strategies to stimulate these protective factors.

Previous research studied green consumer trust in the marketing field but did not explore the core of trust which was regarded as a cognitive process. This paper investigates green consumer behaviour under the perspective of psychological resilience and makes an innovative attempt to understand drivers of regaining consumer trust. Previous research works put forward a series of strategies related to regaining trust, but they did not discuss the mechanisms by which these strategies work. Using the method of grounded theory, we attempt to reveal the “black box” of consumers cognition after greenwashing and propose a strategy for regaining consumer trust.

The purpose of this paper is to describe how three traditional cruciferous vegetables: cabbage (Brassica oleracea var. capitata), collard greens (Brassica oleracea var. acephala) and kale (Brassica oleracea var. viridis) were compared to canola greens through sensory analysis to evaluate panelists' acceptance of canola as a potential source of leafy‐green vegetable.

Canola cultivars were grown at Alabama A&M University, Winfred Thomas Agricultural Research Station, Hazel Green, Alabama, and harvested at the rosette stage. Traditional vegetables (cabbage, collard and kale) were obtained from a local food specialty store. All vegetables were washed and refrigerated overnight. On the day of testing, vegetables were chopped uniformly in preparation for cooking. Using a nine‐point hedonic scale, vegetables were rated for color, flavor and texture. Overall preference was rated using most favorite, second favorite and third favorite.

Color of prepared canola was preferred significantly over other vegetables. There was no significant difference in preference based on texture among canola, collard greens and kale, however, cabbage was significantly preferred by panelists for texture and flavor. The rating for color and texture indicated significant difference among age groups. Response for texture and flavor showed a linear relationship (r² of 0.69) for the model: color texture = flavor, while principal component analysis indicated African‐American females, ages 20‐29 as outliers. The results suggest that canola greens have the appeal of being accepted as an additional tasty Brassica vegetable. Originality/value – This research provides new data on canola as a potential new green leafy vegetable, based on consumer preference.