Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.     

Expanding the two wings of social capital for value creation: strategic entrepreneurship of HTC, 1997–2008

This study draws on a historical, qualitative case study to explore how a leading Taiwanese high-tech mobile phone manufacturer, HTC, successfully and continuously manoeuvred the two wings of social capital – that is, structural social capital and cognitive social capital – to create value in its strategic entrepreneurial process between 1997 and 2008. Taiwan is a wide-spreading trust-based Chinese Confucian-influenced culture. The process of developing trust-based social capital for value creation consists of three central actions: identifying potential social capital, reinforcing cognitive social capital, and extending structural social capital. Our findings advance knowledge of trust-based social capital based on the perspective of strategic entrepreneurship for value creation and offer practical implications for the mobilisation of social capital. In sum, we suggest that firms could develop trust-based social capital considering business conditions to reduce possible risks or uncertainties of network management in an international arena.     

How perceived empowerment HR practices influence work engagement in social enterprises – a moderated mediation model

Abstract

Drawing insights from the group engagement model and self-determination theory, our research explored the role of perceived empowerment human resource (HR) practices in the hybrid organizational form of social enterprise in China. Based on two studies, this paper developed and examined a moderated mediation model, linking perceived empowerment HR practices, identification motivation, work engagement, and authority work value. Specifically, in Study 1 we found perceived empowerment HR practices increased employees’ work engagement through enhancing employees’ identification motivation. In Study 2, we adopted a two-wave design to duplicate and extend this mediation model. A moderator, employees’ authority work value, was found to weaken both the mediation relationship, and the positive relationship between perceived empowerment HR practices and identification motivation. This study broadens the understanding of what social enterprises look like in alternative contexts, while providing an opportunity to explore how a HRM mechanism and its boundary condition function in large social enterprises in China.     

Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.     

Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.     

新疆西北部农户种植决策的Logistic模型分析*——以伊犁河谷察布查尔县为例

[目的]农户种植决策是诱发农业结构调整的微观基础,研究农户种植决策的影响因素,不仅有利于了解农业种植结构,也对该区域推进和深化农业结构调整,实现农业产业化、现代化具有重要的意义。[方法]文章基于新疆察布查尔县21个行政村228户农户的问卷调查数据,应用Logistic模型,从农户家庭特征、个体特征、生产特征及收入特征等4个方面实证分析了影响农户种植决策的主要因素。[结果]对农户种植决策行为影响显著的因素有家庭总人口、耕地面积、地形部位、总收入等,其中,耕地面积和地形部位对农户种植意愿有显著正向影响,而家庭总人口和总收入对农户种植意愿有显著负向影响;常年从事农业劳动人数、户主文化水平、地块位置、地块总数以及对于农业技术服务态度没有通过检验,无法得出这几个变量与农户种植决策之间的关系。[结论]影响农户种植决策的因素除耕地面积、总收入、家庭总人口及地形部位外,还会受到政策、农户自身种植习惯、农业技术等影响,农户对农业技术知识的匮乏是影响该县农业结构调整的主要原因     

Bridging the great divide? Making sense of the human rights-CSR relationship in UK multinational companies

Human rights (HR) and corporate social responsibility (CSR) are both fields of knowledge and research that have been shaped by, and examine, the role of multi-national enterprises in society. Whilst scholars have highlighted the overlapping nature of CSR and HR, our understanding of this relationship within business practice remains vague and under-researched. To explore the interface between CSR and HR, this paper presents empirical data from a qualitative study involving 22 international businesses based in the UK. Through an analysis based on sensemaking, the paper examines how and where CSR and HR overlap, contrast and shape one another, and the role that companies’ international operations has on this relationship. The findings reveal a complex and multi-layered relationship between the two, and concludes that in contrast to management theory, companies have bridged the ‘great divide’ in varying degrees most notably in their implementation strategies.     

Markets under the Microscope: Making Scientific Discoveries Valuable through Choreographed Contestations

This paper breaks new ground by revealing and conceptualizing the marketization of science as a process that transforms scientific discoveries and markets through a series of choreographed contestations: moments of valuation that occur when different social worlds collide. We follow a scientific discovery, from the moment it entered an incubator, to uncover how valuation practices and market devices enact and contest diverse social values (i.e., what is worth doing) to generate economic value (i.e., what is worth paying for) at the science‐market‐entrepreneurship nexus. In contrast with commercialization of science studies that focus on institutional arrangements, this study explicates the practices and devices used by multiple market actors to transform a scientific discovery into a marketable object. In so doing, we characterise choreographed contestations and the mechanisms through which they operate to explain how specific valuations are performed to work out innovative next steps that unfold the marketization of science.     

Real-time co-creation and nowness service: lessons from tourism and hospitality

Brands take advantage of technology, social media and constant connectivity to foster organic consumer engagement and interactions towards co-creating personalised customer service. Real-time service offers dynamic engagement with connected consumers. Brands in tourism and hospitality use technology to dynamically enhance consumer experience through co-creation. The integration of real-time consumer intelligence, dynamic big data mining, artificial intelligence, and contextualisation can transform service co-creation by mobilising recourses in the ecosystem. Nowness service emerges by dynamically engaging consumers in experience cocreation in real time. It has five interconnected characteristics that revolutionise the tourism and hospitality, namely: real-time, co-creation, data-driven, consumer-centric and experience co-creation.