The rise of smart consumers: role of smart servicescape and smart consumer experience co-creation

ABSTRACT

Rapid technological advancements have led to the emergence of smart services and smart consumers. This study focuses on smart consumers who voluntarily engage in value creation activities, in order to conceptualise smart experience co-creation (SEC) and the smart servicescape. Drawing on the Stimulus-Organism-Response (SOR) framework, a model is proposed and tested around the impacts of smart servicescape dimensions (aesthetics, superior functionality, social presence, perceived interactivity and perceived personalisation) on smart consumer experience co-creation. SEC is conceptualised as a second-order construct consisting of cognitive, hedonic, social/personal, and pragmatic/economic first-order dimensions. Results show that the technological environmental cues of the smart servicescape (S) collectively influence smart experience co-creation (O), and this co-created experience eventually influences consumers’ service brand equity and word-of-mouth (WOM) intentions (R). A major novelty of this study lies in uncovering the relationship between experience co-creation and service brand equity. Findings have theoretical and managerial implications for smart services.     

Do Boards of Directors Influence Corporate Sustainable Development? An Attention‐Based Analysis

Following the attention‐based view of the firm (ABV), boards of directors’ link to corporate sustainable development (CSD) could be dependent upon certain attention structures: valuation of environmental stimuli, rules of the game and the players. Studying a sample of large Australian firms, the findings indicate that the proposed attention‐directing structures do appear to be linked to CSD in a manner consistent with the ABV. Specifically, creating awareness through scanning efforts links boards to CSD. Stakeholder debate, as a boardroom rule, is also significantly associated with CSD. Furthermore, as a so‐called ‘player’ on the board, women directors have a moderating effect on the relationships between environmental scanning, stakeholder debate and CSD. The findings are discussed along with limitations and directions for future research. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment     

基于经济新常态的长春市水资源开发利用潜力评价

以长春市为研究对象,基于未来经济处于新常态的发展态势,构建包含水资源、社会、经济、生态环境4个子系统的评价指标体系,并确定各指标的评价等级标准;基于模糊数学理论以及层次分析法构建包括目标层、准则层、指标层的3层模糊综合评价模型,以2015年为现状水平年,应用模型对长春市水资源开发利用潜力进行综合评价。结果表明:长春市水资源开发利用程度处于中等偏上水平,各辖区水资源开发利用规模不平衡,可通过产业结构调整提高全市用水效率,为经济持续增长提供保障。     

三维视角下农民土地财产权的实现

研究目的:从时间性、社会性、空间性三维解读农民土地财产权的基本特征,进而探究其实现路径。研究方法:规范分析法、文献研究法。研究结果:(1)农民土地财产权由国家配置,呈现出开放性结构;(2)农民土地财产权本质上具有关系性,负有社会功能;(3)农民土地财产权受土地属性限制,在个人自治与公共利益互动平衡中动态发展。研究结论:农民土地财产权需要双重实现,公法上可以从基本权利的功能入手限定国家干预范围;私法上确立其独立民事权利地位,并借助集体成员概念明确成员权利和成员义务。     

The function-specific microfoundations of dynamic capabilities in cross-border mergers and acquisitions

In mergers and acquisitions, the acquiring firm must combine two firms’ resources and capabilities so that the outcome yields value. In individual firms, the marketing & sales, and R&D functions have typically developed intertwined and complex relationships over time. These multifaceted dependencies may obscure the integration of the firms and their functions. In order to reveal to what extent cross-functional relationships determine the success or failure of an acquisitions, we have made one of the first attempts to study merging firms’ function-specific capabilities, underlying microfoundations, and their cross-functional relationships during the integration process—instead of focusing on acquisition capabilities as such. We use longitudinal data from two cross-border acquisitions between US and Finnish SMEs. Our results indicate that major differences between merging firms’ cross-functional microfoundations—that is, their structures, processes, routines, and skills—might either enforce or erode the seemingly promising synergies at the product and market levels, depending on managerial awareness of their nature.     

Sensory Aspects of Retailing: Theoretical and Practical Implications

Sensory elements are an important aspect of both offline and online retail stores and can non-consciously influence consumer judgments and purchase behavior. In offline settings, ambient factors like scent, lighting, and music have been shown to influence customers’ shopping experiences and their buying behaviors. For online retail outlets, sensory factors related to color, display patterns, and layouts can have significant effects on consumer behavior. Sensory elements have strong managerial relevance since they can non-consciously influence behaviors and because they are relatively easy to change; for example, it requires minimal effort to change the lighting or the music at a physical retail store or the display pattern for an online store. The eight papers in this special issue address theoretical and practical issues related to how different sensory elements can strongly influence retail practices. These papers focus on underexplored topic areas and also on emerging technologies, which stimulate thoughts for further research in these areas.     

A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

Economic Competition,Policy Interdependence,and Labour Rights

Extant scholarship treats national policies concerning labour rights as a function of economic factors and yet neglects influences of policies among economically competing states. Relying on the policy interdependence theory, this study argues that labour rights policy in a state is dependent on its economic competitors’ labour policy decisions. It specifically maintains that the intensifying competition for foreign direct investment and exports as well as against imports channels negative externalities of deteriorating labour protection in competing states which drives expansive downward policy mimicking and leads to a global decline in labour rights – a race to the bottom. Utilising spatial econometric technique to analyse a new data on labour rights for the period 1994–2009, it finds that labour rights practices are interdependent among economic competitors and experience global deteriorations; whereas labour rights laws remain largely independent due to high policy and reputational costs of lowering them and show more fluctuations.     

Intensive and extensive margins of exports: What can India learn from China?

We decompose India's export performance in manufactured products during 2000–15 into changes at the intensive and extensive margins. India's performance, along different margins, is compared and contrasted with that of China. The results show that while China outperforms India at both the margins, the gap is particularly wide at the intensive margin. Decomposition of intensive margin along quantity and price margins shows that Chinese products are generally sold cheaper than Indian products. Higher price margin, however, has not translated into high intensive margin for India due to its abysmally low quantity margin. We examine different explanations for China's superior performance relative to India, along different margins, using a gravity model. Our results suggest that China's exchange rate policy was not the prime reason for its export success. Neither do we find that FDI inflows were significant in explaining the export performance gap between them. The results show that China's export relationship bias towards high‐income partner countries holds the key in understanding its superior performance. This bias is a natural consequence of China's high degree of specialization in labor‐intensive activities. India, by contrast, due to an idiosyncratic pattern of specialisation, has failed to exploit its export potential in high income countries.