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In recognising the key role of business intelligence and big data analytics in influencing companies’ decision-making processes, this paper aims to codify the main phases through which companies can approach, develop and manage big data analytics.

By adopting a research strategy based on case studies, this paper depicts the main phases and challenges that companies “live” through in approaching big data analytics as a way to support their decision-making processes. The analysis of case studies has been chosen as the main research method because it offers the possibility for different data sources to describe a phenomenon and subsequently to develop and test theories.

This paper provides a possible depiction of the main phases and challenges through which the approach(es) to big data analytics can emerge and evolve over time with reference to companies’ decision-making processes.

This paper recalls the attention of researchers in defining clear patterns through which technology-based approaches should be developed. In its depiction of the main phases of the development of big data analytics in companies’ decision-making processes, this paper highlights the possible domains in which to define and renovate approaches to value. The proposed conceptual model derives from the adoption of an inductive approach. Despite its validity, it is discussed and questioned through multiple case studies. In addition, its generalisability requires further discussion and analysis in the light of alternative interpretative perspectives.

The reflections herein offer practitioners interested in company management the possibility to develop performance measurement tools that can evaluate how each phase can contribute to companies’ value creation processes.

This paper contributes to the ongoing debate about the role of digital technologies in influencing managerial and social models. This paper provides a conceptual model that is able to support both researchers and practitioners in understanding through which phases big data analytics can be approached and managed to enhance value processes.

This paper aims to investigate actual tourist customer visiting behavior with behavioral data from Google Popular Times to evaluate the extent that such an online source is useful to better understand, analyze and predict tourist consumer behaviors.

Following six hypotheses on tourist behavior, a purpose-built software tool was developed, pre-tested, and then used to obtain a large-scale data sample of 20,000 time periods for 198 restaurants. Both bi-variate linear regression and correlation analyzes were used for hypothesis testing.

Support was established for the hypotheses, through an analysis of customer reviews, timing effects, the number of pictures uploaded and price segment information provided by tourists to a given restaurant. Also, a relationship to average duration time was found to be positive. The findings demonstrate that data provided through Google Popular Times matches theoretical and logical assumptions to a high degree. Thus, the data source is potentially powerful for providing valuable information to stakeholders (e.g. researchers, managers and tourists).

This paper is the first to both conceptually and empirically demonstrate the practicality and value of Google Popular Times to better understand, analyze and predict tourist consumer behaviors. Value is thereby provided by the potential for this approach to offer insights based behavioral data. Importantly, until now such an approach to gathering and analyzing this volume of actual customer data was previously considered far less practical in terms of time and expense.

本研究旨在用谷歌热门时段(Google Popular Times)的行为数据来探讨游客的实际访问行为, 以评估此种线上资源对理解、分析和预测游客消费行为的实用程度。

基于对游客访问行为的六个假设, 本研究开发并前测一种专用软件工具, 用其收集198家餐厅中20,000个时间段的大规模数据样本。双变量线性回归(bi-variate linear regression)和相关性分析(correlation analyzes)均用于检验假设。

研究结果支持本文假设, 包含顾客评论数量、时间影响、图片数量以及价格区间等资讯對特定餐厅游客平均数量之預測; 同时亦发现与平均持续时间的正向关系。研究结果证明, 谷歌热门时段所提供的数据很大程度上符合理论与逻辑假设。因此, 其具备潜在强大功能, 能为利害关系人（如研究者, 管理者, 游客）提供高价值的资讯。

本研究是第一个从概念与实证上证明谷歌热门时段的实用性和价值, 进而深入理解、分析和预测游客消费行为。此方式透过行为数据来提供深入的见解并创造价值; 重要的是, 在此之前, 这种收集与分析大量实际顾客数据的方法被认为缺乏时间与成本效益。

El presente documento tiene como objetivo investigar las conductas de visita de los clientes turísticos reales con datos de comportamiento de Tiempos populares de Google (Google Popular Times) para evaluar el grado en que dicha fuente online es útil para comprender, analizar y predecir mejor las conductas de los consumidores turísticos.

Siguiendo seis hipótesis sobre el comportamiento de los clientes turístico visitante, se desarrolló una herramienta de software especialmente diseñada, probada con anterioridad y posteriormente se utilizó para obtener una muestra de datos a gran escala de 20.000 períodos de tiempo para 198 restaurantes. Se utilizaron tanto la regresión lineal bi-variante como los análisis de correlación para probar las hipótesis.

Se apoya la hipótesis que incluyen la cantidad de comentarios de los clientes, los efectos de tiempo, el número de imágenes y la información del segmento de precios sobre la cantidad de turistas que visitan un restaurante determinado en promedio. Además, se encuentra una relación positiva con el tiempo de duración promedio. Los hallazgos demuestran que los datos proporcionados a través de Google Popular Times coinciden en alto grado con las suposiciones teóricas y lógicas. Por lo tanto, la fuente de datos es potencialmente eficaz para proporcionar información valiosa a los interesados (por ejemplo, investigadores, administradores, turistas).

Este ensayo es el primero que demuestra conceptual y empíricamente la practicidad y el valor de Google Popular Times para entender, analizar y predecir mejor el comportamiento del consumidor turístico. Por lo tanto, el valor es proporcionado por el potencial de este enfoque para ofrecer datos de comportamiento basados en la comprensión. Es importante señalar que hasta ahora ese enfoque para reunir y analizar ese volumen de datos reales sobre los clientes se consideraba menos práctico en términos de tiempo y gastos.

The high-risk/high-stress nature of hospital emergency departments has made handoffs (i.e. patient transfers across organizational units) an area of significant safety consequence, as evidenced by numerous studies and 2006 Comprehensive Accreditation Manual for Hospitals: The Official Handbook (CAMH). Joint Commission Resources, Inc.: Author; 2005. This same high-risk/high-stress environment is known for generating resistance to traditional deficit-based, external expert driven approaches to improvement. The authors describe how one hospital overcame this resistance by using an Appreciative Inquiry approach to the redesign of the information flow and organizational roles within a mission-critical area of the hospital. Rather than designing to ameliorate the root causes of ineffective handoffs, this positive lens approach (Appreciative Inquiry) was used to engage staff in identifying and expanding upon their most effective handoff experiences. Implications for shifting from problem-based design to a positive lens approach in the creation of micro-information systems and new organizational processes are discussed.

• Appreciate the scope and pervasiveness of fake reviews in retailing

• Recognise the causes of fake reviews in retailing

• Understand consumer responses to fake reviews in retail

• Understand how retailers can and should manage fake reviews

• Understand better the expected future of retail with fake reviews

Appreciate the scope and pervasiveness of fake reviews in retailing

Recognise the causes of fake reviews in retailing

Understand consumer responses to fake reviews in retail

Understand how retailers can and should manage fake reviews

Understand better the expected future of retail with fake reviews

In this volume of Advances in Appreciative Inquiry, leading scholars from the fields of art, management, design, information technology, organization development, and education come together to chart new directions in Appreciative Inquiry theory and research as well as new intervention practices and opportunities for design in organizations. While diverse in topic and discipline, each of the following original chapters treats the reader to a view of Appreciative Inquiry's revolutionary way of approaching familiar questions of information and organization design and vice versa.

In this paper, I compare Theodore Schatzki’s practice theory, the existential phenomenology of Martin Heidegger upon whom Schatzki drew in its formation, and my own theory of institutional logics which I have sought to develop as a religious sociology of institution. I examine how Schatzki and I both differently locate our thinking at the level of practice. In this essay I also explore the possibility of appropriating Heidegger’s religious ontology of worldhood, which Schatzki rejects, in that project. My institutional logical position is an atheological religious one, poly-onto-teleological. Institutional logics are grounded in ultimate goods which are praiseworthy “objects” of striving and practice, signifieds to which elements of an institutional logic have a non-arbitrary relation, sources of and references for practical norms about how one should have, make, do or be that good, and a basis of knowing the world of practice as ordered around such goods. Institutional logics are constellations co-constituted by substances, not fields animated by values, interests or powers.

Because we are speaking against “values,” people are horrified at a philosophy that ostensibly dares to despise humanity’s best qualities. For what is more “logical” than that a thinking that denies values must necessarily pronounce everything valueless? Martin Heidegger, “Letter on Humanism” (2008a, p. 249).

This article aims to propose that increased guidance on the implementation of social marketing principles for sustainability issues can advance both implementation and empirical evaluation. The primary goal of this paper is to ignite further empirical investigation of social marketing for sustainability by first presenting benchmark criteria for one social marketing model – community-based social marketing (CBSM) – and second, applying this framework to the case study of musician Jack Johnson’s “All at Once” (AAO) campaign.

The research design is twofold. First, based on Doug McKenzie-Mohr’s CBSM model, a series of 21 benchmarks for assessing the key components of an effective CBSM initiative was developed. Second, this tool was applied to information gathered from Jack Johnson’s extensive outreach promoting AAO initiatives including reports, videos as well as interviews and in-person meetings with the Jack Johnson team.

Application of the benchmark criteria to the Jack Johnson case study showed that seven out of the 21 benchmarks were integrated into the AAO campaign; seven were partially integrated and seven were not integrated in the program’s design. In particular, the use of commitments, incentives, norms and social diffusion was clearly present as was a final evaluation of the full-scale implementation of the campaign.

The CBSM benchmarks are meant as a starting point to further assess and compare the effectiveness of CBSM initiatives. Further research should be done to explore how criteria should be weighted and which of the 21 principles need to be present in the design and implementation of an effective CBSM program.

Volumes 70 and 71 of Research in the Sociology of Organizations combine to comprise cutting edge theory and empirical scholarship at the interface of practice and institution in organization studies. As we highlight, this interface has spurred particularly generative conversations with many open questions, and much to explore. We provide a review of scholarly developments in practice theory and organizational institutionalism that have given rise to this interest in building a bridge between scholarly communities. As signaled by recent efforts to construct a practice-driven institutionalism, we highlight how connecting practice theory with the institutional logics perspective provides a particularly attractive focal point for scholarship at this interface due to a variety of shared ontological and epistemological commitments, including the constitution of actors and their behavior. Collectively, the papers assembled unlock exciting opportunities to connect distinct, but related scholarly communities on practice and institution, seeding scholarship that can advance our understanding of organizational and societal dynamics.

Volumes 70 and 71 of Research in the Sociology of Organizations combine to comprise cutting edge theory and empirical scholarship at the interface of practice and institution in organization studies. As we highlight, this interface has spurred particularly generative conversations with many open questions, and much to explore. We provide a review of scholarly developments in practice theory and organizational institutionalism that have given rise to this interest in building a bridge between scholarly communities. As signaled by recent efforts to construct a practice-driven institutionalism, we highlight how connecting practice theory with the institutional logics perspective provides a particularly attractive focal point for scholarship at this interface due to a variety of shared ontological and epistemological commitments, including the constitution of actors and their behavior. Collectively, the papers assembled unlock exciting opportunities to connect distinct, but related scholarly communities on practice and institution, seeding scholarship that can advance our understanding of organizational and societal dynamics.