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This case study aims to demonstrate the strengths of the Lean Six Sigma (LSS) methodology to improve the acute ischemic stroke (AIS) treatment rates and reduce process lead time at Baruch Padeh Medical Center (BPMC), a rural hospital in the Galilee region of Northern Israel. The LSS project redefined the BPMC stroke care pathway and increased its efficacy.

The LSS methodology was implemented in September 2017 by integrating lean principles and the Six Sigma DMAIC (Define–Measure–Analyze–Improve–Control). Existing procedures, field observation, ad hoc measurement and in-depth interviews were utilized, and the GEMBA method was implemented to identify root cause and improve actions optimizing the stroke pathway.

The presented case shows the usefulness of the LSS methodology in improving quality performance in a rural hospital. The intervention allowed the BPMC to improve the intravenous tissue plasminogen activator (IV-tPA) administration rate (+15.2%), reducing the process lead time. The lead time of door-to-computer tomography decreased from 52 to 26 min, and the door-to-needle time decreased from 94 to 75 min.

The present case study shows the implementation of the LSS methodology aimed to improve the IV-tPA administration rate and reduce the stroke pathway lead time in a rural hospital. The case demonstrates the potential for the LSS methodology to support the AIS pathway optimization and represents a guide for healthcare organizations located in rural areas.

This paper aims to analyze the demand for mobility in higher education to understand the critical elements of students' mobility and the potential impact of accessing sustainable alternatives. The demand for different means of transportation accounts for socioeconomic variables such as household income and size, gender, age, among other travel factors such as distance, time, speed and direct cost.

This research uses a unique data set encompassing a representative sample of households across gender and municipalities in the Monterrey Metropolitan Area in Mexico. This paper uses the value of transportation time savings approach to estimate the derived demand for mobility in higher education across different means. The empirical strategy uses a linear utility framework in a multinomial non-ordered logit model to analyze the conditional selection of transportation as a function of sociodemographics, direct monetary costs and travel determinants such as travel time, distance and speed.

Men students are more likely to use an unsustained transportation mode such as a car or cab than women. Income is a crucial determinant for transportation demand. There is a negative relationship between household income and walking or riding the bus but positive with driving a car. An increase in the time of the trip decreases the probability of walking while increasing the likelihood of using a car or riding the bus to school. Students who feel safe while riding a bus are more likely to use the bus or walk as transportation than using a car. Finally, having access to better quality sidewalks significantly incentive walking over other transportation options.

Results show that individuals would almost always choose private vehicles because of the personal comforts and time savings.

Understanding the demand for higher education and access to sustainable transportation might provide new insights into campus planning and development. Access to public transportation options can reduce the travel costs for students with lower incomes and enlarge options for students who have to commute longer distances by car. Sustainable transportation access plays a role in promoting equality and economic development.

This study’s results bring new light on how transportation becomes an essential component of the opportunity cost of college education and could define its role in promoting equality or increasing inequality. This study’s finding is of particular interest for cities where housing location seems to be independent of access to school, work or other amenities.

The relationship between team cohesion and individual well-being is clear. Being part of a highly cohesive team is likely to contribute to the well-being of individual team members. A multidirectional relationship is likely as individual well-being is also likely to contribute to team cohesion. This chapter examines such critical relationships in the context of team performance. To do so, we draw on the dominant literatures related to these concepts, focusing on two specific types of team cohesion – social cohesion and task cohesion – and two specific types of well-being – subjective well-being (SWB) and psychological well-being (PWB). We contend that social cohesion and SWB are likely to be strongly related, while task cohesion and PWB are likely to share a strong relationship. Therefore, the chapter focuses on the evidence regarding the transactional relationship between social team cohesion and SWB, and transactional relationship between task team cohesion and PWB. Of course, we also recognize the close relationships between social and task cohesion, and between SWB and PWB. We consider the practical implications of studying the relationships between these concepts and put forth a number of recommendations for future research in this area.

This chapter discusses how businesses can create alignment between their corporate sustainability (CS) efforts that focus on the triple bottom line of the financial, environmental, and social, and the 10 principles of the UN Global Compact in the four core areas of environment, human rights, labor standards, and anticorruption.

Based on the literature review, the relationship between CS and corporate responsibility is presented. Creating alignment between CS management and Global Compact initiatives requires knowledge of the Global Reporting Initiative (G4-GRI), third-party CS rankings, green supply chain management, and anticorruption strategies.

UN Global Compact is an international forum to promote and self-report CS and corporate social responsibility [Bitanga & Bridwell, 2010. CS is achieved through a triple bottom line – financial, environmental, and social (Hutchins & Sutherland, 2008). For CS management, businesses use four strategies including defensive, cost-benefit, strategic, and innovation/learning [Buchholtz & Carroll, 2008; Egbeleke, Journal of Management and Sustainability, 4(2), 92–105 (2014); Epstein, 2008; Epstein, Buhovac, & Yuthas, 2010]. The UN G4-GRI is the most widely used comprehensive sustainability reporting standard in the world (G4-GRI, 2013). Third-party, industry sector-specific CS ratings reinforce the self-reported sustainability reports. Each firm has to conduct their own CS cost-benefit analysis to determine how CS practices can lead to value creation for sustained competitive advantage. Creating alignment with Global Compact initiatives offers firms a marketing advantage. Conducting business in accordance with the Global Compact is a value-increasing business strategy [Kaspereit & Lopatta, 2011; Lopatta & Kaspereit, 2014; Michelon, Corporate Reputation Review, 14(2), 79–96 (2011)]. Green supply chain management is essential for CS (Penfield, 2014). Four prevailing anticorruption frameworks or intervention policy approaches include law enforcement, economics, moralism, and cultural relativism (Bellows, 2013). There is little sustainability reporting in the government and public-sector organizations (Adams, Muir, & Hoque, 2014).

It is difficult to quantify the financial and social benefits of aligning the CS efforts with the 10 principles of UN Global Compact [Parisi, Journal of Management and Governance, 17(1), 71–97 (2013); Nilipour & Nilipour, Interdisciplinary Journal of Contemporary Research in Business, 3(9), 1084–1092 (2012)]. The environmental impact can be easily quantified.

As the primary driver of globalization, businesses and other organizations can help ensure that markets, commerce, technology, and finance advance in ways that benefit environment, economies, and societies in both developed and developing countries leading to sustained development.

The role of green supply chain management and anticorruption strategies in CS management is explored.

In high-end interactive service work settings, asymmetries between workers and customers are typically reflected in the service interaction. Workers must carefully control their emotional and aesthetic displays towards customers by relying on protocol provided by management. Customers, in turn, need not reciprocate such acts. By contrast, this paper theorizes service interactions that, paradoxically, aim to narrow the social distance between those on either side of the counter. Drawing on ethnographic data from a higher-end Los Angeles restaurant, I introduce the concept of proximal service as performed relationships in which server and served engage in peer-like interactions in a commercial setting. I show how management structures this drama through hiring, training, and shopfloor policies, all of which encourage select workers to approach customers using informal, flexible, and peer-like performances. I close by discussing how a branded experience of service amongst equals relates to symbolic exclusion and social inequality, and suggest that proximal service may be on the rise within upscale, urban service establishments seeking to offer a more “authentic” consumption experience.

The purpose of this paper is to assess to what extent intraday data can explain and predict long-term memory.

This article analysed the presence of long-memory volatility in five Asian equity indices, namely, SENSEX, CNIA, NIKKEI225, KO11 and FTSTI, using five-min intraday return series from 05 January 2015 to 06 August 2015 using two approaches, i.e. conditional volatility and realized volatility, for forecasting long-term memory. It employs conditional-generalized autoregressive conditional heteroscedasticity (GARCH), i.e. autoregressive fractionally integrated moving average (ARFIMA)-FIGARCH model and ARFIMA-asymmetric power autoregressive conditional heteroscedasticity (APARCH) models, and unconditional volatility realized volatility using autoregressive integrated moving average (ARIMA) and ARFIMA in-sample forecasting models to estimate the persistence of the long-term memory.

Given the GARCH framework, the ARFIMA-APARCH long-memory model gave the better forecast results signifying the importance of accounting for asymmetric information when modelling volatility in a financial market. Using the unconditional realized volatility results from the Singapore and Indian markets, the ARIMA model outperforms the ARFIMA model in terms of forecast performance and provides reasonable forecasts.

The issue of long memory has important implications for the theory and practice of finance. It is well-known that accurate volatility forecasts are important in a variety of settings including option and other derivatives pricing, portfolio and risk management.

It could be said that using long-memory augmented models would give better results to investors so that they could analyse the market trends in returns and volatility in a more accurate manner and reach at an informed decision. This is useful to minimize the risks.

This research enhances the literature by estimating the influence of intraday variables on daily volatility. This is one of very few studies that uses conditional GARCH framework models and unconditional realized volatility estimates for forecasting long-term memory. The authors find that the methods complement each other.

This paper aims to summarize peer-reviewed journal articles on national cultures and electronic word of mouth (eWOM) behavior, identify the main findings and patterns among those studies and discuss research gaps that need to be addressed in the future.

A systematic review process was utilized to analyze peer-reviewed journal articles on both eWOM and national cultures. The main research questions were defined, then proceeded by the identification of exclusive and inclusive criteria to search for relevant articles, which were further filtered based on abstracts and full texts, and then scrutinized for main findings and major variables such as countries, cultural variables and data collection methods.

An analysis of 52 papers shows that national cultures, primarily Hofstede's dimensions, influence the willingness of individuals to share eWOM, how they write eWOM and the extent to which they use eWOM to make decisions. Although the reviewed studies have provided insightful implications for marketing theory and practice, the present paper has identified a number of important questions that warrant future research attention.

eWOM is continually being employed as a popular source of information for consumers throughout different countries to make their purchase decisions. However, eWOM behavior differs from country to country due to national cultures, and managers' eWOM strategies that work in one country may not be applicable in another. Therefore, there has been an increasing interest in this topic. Nevertheless, it remains unclear which subjects have been addressed and what areas are yet to be investigated. This paper presents a comprehensive review of how national cultures affect eWOM behavior by drawing upon prior research and provides directions for future research contributions.

The purpose of this paper is to investigate how international tourists’ cosmopolitan values change due to the restraining fear of terrorism, and how this change affects their worldview, destination perception and travel preferences.

In-depth interviews were conducted with international travellers from all five continents to pinpoint the universal shifts in cosmopolitan values, specifically regarding risk perception in the face of terrorism.

Tourists’ personal values are changing due to the increased risk of terrorism (or the perception of it), which prompts international travellers to act less on their desire for stimulation and more for their need for security when travelling. Just as any change in values tends to be relatively permanent, this value shift might have long-term consequences for the entire tourism industry.

Terrorism risk perception and its retraining effect regarding willingness to travel were established to be significant and universal. However, this study suggests that the strength of the travellers’ cosmopolitan orientation influences the extent terrorism risk is acted upon. Results indicate that the higher the travellers’ cosmopolitan conviction is, the less significantly they seem to be affected by the fear of terrorism.

The study offers cues on how managers and policy makers can enhance destination image that keeps up with the current realities of global tourism in the face of terrorism, and highlights a promising market segment, strongly cosmopolitan travellers who are less concerned with potential travel risks and react less negatively in troubled times.

Most of the previous studies considered tourists’ cosmopolitanism as a stable orientation rather than a context-specific state. This study addresses this gap by exploring how resilient the tourists’ cosmopolitan desire for openness and freedom is under the risk perception of terrorism, and what effect the fear of terrorism has on their travel habits.

Introduction and Purpose: Sustainable development is a concept that plays an essential part in the business and industry of the twenty-first century. At present, the authors observe a wide range of models to analyse and implement sustainable development measures, which use various methodologies to address sustainability goals and monitor and assess implementation progress-wise. These models are based on a systemic vision and the complexity of the interconnected component elements. This chapter presents two fundamental concepts (systemic and related) through a comparison made between two sustainability assessment systems, the first one focussing on evaluating the sustainable development goals (SDG) implementation, and the second one focussing on environmental, social, and governance (ESG) criteria assessment.

Methodology: Then, using cluster analysis, the authors grouped European Union (EU) member states from a sustainability assessment point of view.

Findings: Results show a congruent and complementary evolution of EU member states that use both sustainability assessment systems. As an outcome of this research, the authors suggest integrating the two sustainability assessment systems to better understand the phenomenon and the evolutionary trends in the field of sustainability.

Significance and Originality of Findings: Using the comparative approach and the cluster analysis method, this chapter showed that the two systems are consistent and offer compatible and complementary views, which led at necessity of integration of the two visions into a unitary systemic concept consisting of inputs (ESG scores) and outputs (SDG index).