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Despite over 30 years of focus on supply chain collaboration, companies continue to struggle to achieve collaborative advantage. To better understand why some companies are able to collaborate for competitive advantage and others can't, the authors explore how managerial commitment enables collaborative capabilities.

The authors employed a longitudinal inductive study, interviewing companies with reputations for intense supply chain collaboration at four different times over 20 years.

The authors identified managerial commitment as a super-ordinate enabler. They describe the dynamics of commitment development and explore three types of commitment: instrumental, normative and transformative. The authors document key antecedents and outcomes of each type of commitment.

Theory regarding the antecedents to commitment to collaborative capability is underdeveloped. The authors elaborate these antecedents and the dynamics that enable or undermine the commitment necessary to build effective collaboration capabilities.

The authors provide insight (i.e. a practical and actionable roadmap) into the process companies use to cultivate commitment to collaboration and value co-creation.

Collaboration is critical to value co-creation, including effective supply chain risk mitigation and lasting sustainability efforts. The authors elaborate a theory of commitment dynamics that explains why most companies never go beyond basic levels of collaboration. At the same time, the authors provide a roadmap for deep, transformative collaboration.

The purpose of this study is to elaborate theory regarding the reasons why collaboration strategies fail. The relational view posits that supply chain integration can be a source of competitive advantage. Few firms, however, successfully co-create value to attain supernormal relational rents.

This study uses a quasi-longitudinal, multi-case interview methodology to explore the reasons why collaboration strategies fail to deliver intended results. The authors interviewed managers at 49 companies in Period 1 and managers at 57 companies in Period 2. In all, 15 companies participated in both rounds of interviews.

This study builds and describes a taxonomy of relational resistors. The authors then explore how sociological and structural resistors reinforce each other to undermine collaborative behavior. Specifically, the interplay among resistors: obscures the true sources of resistance; exacerbates a sense of vulnerability to non-collaborative behavior that reduces the willingness to invest in relational architecture; and inhibits the development of essential relational skills and organizational routines.

This research identifies and describes the behaviors and processes that impede successful supply chain alliances. By delving into the interplay among relational resistors, the research explains the detail and nuance of inter-firm rivalry and supply chain complexity. Ultimately, it is the re-enforcing nature of various resistors that make it so difficult for firms to realize relational rents.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

An ever-growing body of knowledge demonstrates the correlation among real-world phenomena and search query data issued on Google, as showed in the literature survey introduced in the following. The purpose of this paper is to introduce a pipeline, implemented as a web service, which, starting with recent Google Trends, allows a decision maker to monitor Twitter’s sentiment regarding these trends, enabling users to choose geographic areas for their monitors. In addition to the positive/negative sentiments about Google Trends, the pipeline offers the ability to view, on the same dashboard, the emotions that Google Trends triggers in the Twitter population. Such a set of tools, allows, as a whole, monitoring real-time on Twitter the feelings about Google Trends that would otherwise only fall into search statistics, even if useful. As a whole, the pipeline has no claim of prediction over the trends it tracks. Instead, it aims to provide a user with guidance about Google Trends, which, as the scientific literature demonstrates, is related to many real-world phenomena (e.g. epidemiology, economy, political science).

The proposed experimental framework allows the integration of Google search query data and Twitter social data. As new trends emerge in Google searches, the pipeline interrogates Twitter to track, also geographically, the feelings and emotions of Twitter users about new trends. The core of the pipeline is represented by a sentiment analysis framework that make use of a Bayesian machine learning device exploiting deep natural language processing modules to assign emotions and sentiment orientations to a collection of tweets geolocalized on the microblogging platform. The pipeline is accessible as a web service for any user authorized with credentials.

The employment of the pipeline for three different monitoring task (i.e. consumer electronics, healthcare, and politics) shows the plausibility of the proposed approach in order to measure social media sentiments and emotions concerning the trends emerged on Google searches.

The proposed approach aims to bridge the gap among Google search query data and sentiments that emerge on Twitter about these trends.

Among the various global options for self-employment, venturing into the micro-enterprise sector has been recognized as an important way for employment generation and poverty alleviation in many developing/emerging economies. In this context, women-owned businesses at the grassroots play a vital role in developing countries like India far beyond contributing to job creation and economic growth. The informal sector is a sizeable and expanding feature of the contemporary global economy.

However, the informal economy operates at the cusp of the institutional framework, which makes them susceptible to many risks like lack of formal financing options, legal aid or increasing margin through access to formal markets. Non-Profit Development Agencies (NPDAs) have emerged as a viable and essential middle ground support in promoting women entrepreneurship in their capacity to contribute beyond governmental institutions.

The study adopted an inductive qualitative option through a case study design to explore the approaches adopted by NPDAs in promoting micro-entrepreneurship among women at the base of the pyramid (BoP) in the urban informal sector in India. The findings suggest that the NPDAs created an impact through the services, which translated into monetary earnings for the entrepreneurs. They could make financial contributions to their families, which boosted their self-confidence and overall personality. The findings also indicate positive changes like increased self-confidence, self-dependence, and inner strength as reported by the entrepreneurs.

Alternative education settings (AES; i.e., self-contained alternative schools, therapeutic day treatment and residential schools, and juvenile corrections schools) serve youth with complicated and often serious academic and behavioral needs. The use of evidence-based practices (EBPs) and practices with Best Available Evidence are necessary to increase the likelihood of long-term success for these youth. In this chapter, we define three primary categories of AES and review what we know about the characteristics of youth in these schools. Next, we discuss the current emphasis on identifying and implementing EBPs with regard to both academic interventions (i.e., reading and mathematics) and interventions addressing student behavior. In particular, we consider implementation in AES, where there are often high percentages of youth requiring special education services and who have a significant need for EBPs to succeed academically, behaviorally, and in their transition to adulthood. We focus our discussion on: (a) examining approaches to identifying EBPs; (b) providing a brief review of EBPs and Best Available Evidence in the areas of mathematics, reading, and interventions addressing student behavior for youth in AES; (c) delineating key implementation challenges in AES; and (d) providing recommendations for how to facilitate the use of EBPs in AES.

This book is a policy proposal aimed at the democratic left. It is concerned with gradual but radical reform of the socio‐economic system. An integrated policy of industrial and economic democracy, which centres around the establishment of a new sector of employee‐controlled enterprises, is presented. The proposal would retain the mix‐ed economy, but transform it into a much better “mixture”, with increased employee‐power in all sectors. While there is much of enduring value in our liberal western way of life, gross inequalities of wealth and power persist in our society.