Validating a customer well-being index related to natural wildlife tourism

This study reports an attempt to validate a customer well-being (CWB) index related to natural wildlife tourism. It was hypothesized that the CWB index related to wildlife tourism has a positive influence on travel outcomes (length of stay, number of visits, and total expenses), mediated by perceived value and customer loyalty. These hypotheses were tested using four waves of surveys of customers (overnight visitors) intercepted at the park in a two-year period. The survey data provided support for the hypotheses, which, in turn, lend validation support to the CWB index. Managerial implications of the customer well-being index are also discussed.     

Natural disasters,growth and institutions: A tale of two earthquakes

We examine the impact of natural disasters on GDP per capita by applying the synthetic control approach and using a within-country perspective. Our analysis encompasses two large-scale earthquakes that occurred in two different Italian regions in 1976 and 1980. We show that the short-term effects are negligible in both regions, though they become negative if we simulate the GDP that would have been observed in absence of financial aid. In the long-term, our findings indicate a positive effect in one case and a negative effect in the other, largely reflecting divergent patterns of the TFP. Consistent with these findings, we offer further evidence suggesting that a quake and related financial aid might either increase technical efficiency via a disruptive creation mechanism or reduce it by stimulating corruption, distorting the markets and deteriorating social capital. Finally, we show that the bad outcome is more likely to occur in regions with lower pre-quake institutional quality. As a result, our evidence suggests that unanticipated local shocks are likely to change long run growth rates, exacerbating territorial disparities.     

Using deep learning and visual analytics to explore hotel reviews and responses

This study aims to use computational linguistics, visual analytics, and deep learning techniques to analyze hotel reviews and responses collected on TripAdvisor and to identify response strategies. To this end, we collected and analyzed 113,685 hotel reviews and responses and their semantic and syntactic relations. We are among the first to use visual analytics and deep learning-based natural language processing to empirically identify managerial responses. The empirical results indicate that our proposed multi-feature fusion, convolutional neural network model can make different types of data complement each other, thereby outperforming the comparisons. The visualization results can also be used to improve the performance of the proposed model and provide insights into response strategies, which further shows the theoretical and technical contributions of this study.     

IMPACT ON FIRMS OF THE USE OF KNOWLEDGE EXTERNAL SOURCES: A SYSTEMATIC REVIEW OF THE LITERATURE

This study summarizes the main conclusions from a systematic review of the empirical literature regarding the impact on firms of the use of knowledge external sources (universities, research institutes and knowledge intensive business services). With the aim to organize the literature, we classify the different works according to the research question addressed: (i) which firms use knowledge external sources?; (ii) Do firms using knowledge external sources achieve better results?; And (iii) which firms benefit the most from using knowledge external sources? Stylized facts are that larger, more R&D intensive and high tech firms are more likely to use knowledge external sources and that use of knowledge external sources is associated to firms higher technical results. Less attention has been paid to the third question and evidence is not conclusive. Several recommendations for future research emerge. First, to take in greater consideration methodological issues so that potential biases in the results caused by sample selection and endogeneity are handled properly. Second, to pay more attention to heterogeneous outcomes. Third, to use continuous indicators of depth and breadth of links allowing for non‐linear relationships and fourth, to extend evidence for developing countries and service industries.     

Cultural embeddedness in supply networks

Recent studies on structural and relational embeddedness suggest that favorable position and connections in supply networks benefit a firm. While fruitful, this focus misses the motivations that prompt firms to take economic action in the first place. Understanding cultural embeddedness provides insight into why individuals and firms behave as they do and how their behavior can influence network structure. Contrary to the belief that firms act solely for profit and growth, we note that cultural contents such as values, social issues and political ideologies explain firms’ motives and guide their economic activities. We explore the role of cultural embeddedness through a grounded study of Country Natural Beef, a sustainability-oriented agricultural cooperative in the western United States. This supply network demonstrates strongly competing cultural claims among its members as well as a unique institutionalized culture. Cultural interactions at the node and network levels explain the functioning of and changes to the network. Through interviews, analysis of archival information and direct observation of pivotal events over a period of 5 years, we unpack cultural embeddedness and take an incremental step toward a theory of cultural embeddedness in cooperative supply networks.     

HUMANITARIAN CRISES AND ADOLESCENT WELL-BEING: KNOWLEDGE,GAPS, AND PROSPECTS

Adolescence constitutes the second and final window of human growth and a period of specific vulnerabilities, such as early pregnancy, early marriage, HIV infection, suicide, violence, alcohol, and drugs. Only a limited body of research investigates the effects of humanitarian crises on the human capital and well-being of adolescents. The evidence focuses on the short-term effects of conflict and, to a lesser extent, natural disasters on education, physical health, and nutrition, but not on mental health. Most analyses examine the situations of individuals exposed in utero and young childhood, but rarely during adolescence. Typically missing are robust empirical identification strategies and estimates on heterogeneous effects across age or gender. The lack of quality data and challenges in defining adolescence, establishing causality, or ensuring ethical research explain the knowledge gaps. Possible ways to expand the evidence base include mixing georeferenced data on individual location with georeferenced data on crises, sharpening quasi-experimental analytical techniques, and reconsidering the current timing of demographic data collection, now spanning 4- or 5-year intervals. The failure to make such adjustments will end by ignoring specific vulnerabilities among adolescents and render sustainable progress in well-being globally, narrowing inequalities, and guaranteeing human rights to all more difficult to achieve.     

知识重叠、知识库特性与创新绩效

以往研究着重探讨重叠/非重叠知识在技术并购中的创新效应，然而在测度知识重叠时仅关注到数量属性而忽略了质量评估。因此，构建一个新的理论框架，利用国家知识产权局2008-2018年专利授权数据，分析217家中国机械制造企业352次国内技术并购案例，探索知识库中重叠、非重叠知识数量和质量属性对并购后创新绩效的影响。结果表明，高质量重叠知识对并购后的企业创新绩效具有正向影响，而高质量非重叠知识则有负向影响。同时，探讨知识数量对并购后创新绩效的影响。研究结果强调了知识重叠对企业获取外部知识的重要性，对企业技术并购实践具有借鉴作用。     

Policy lessons from spatiotemporal enrollment patterns of payment for ecosystem service programs in Argentina

Payment for ecosystem services schemes (PES) are lauded as a market-based solution to curtail deforestation and restore degraded ecosystems. However, PES programs often fail to conserve sites under strong long-term deforestation pressures. Underperformance, in part, is likely due to adverse selection. Spatial adverse selection occurs when landowners are more likely to enroll parcels with low deforestation pressure than parcels with high deforestation pressure. Temporal adverse selection arises when parcels are enrolled for short time periods. In both cases, financial resources are allocated without having a sizeable impact on long-term land use change. Improving program performance to overcome these shortcomings requires understanding attributes of landowners and their parcels across large scales to identify spatial and temporal enrollment patterns that drive adverse selection. In this paper, we examine these patterns in Argentina’s PES program in Chaco forest, a global deforestation hotspot. Our study area covers 252,319 km². Results from multinomial logistic regression models showed that large parcels of enrolled land and parcels owned by absentee landowners exhibit greater evidence of spatiotemporal adverse selection than smaller parcels or parcels owned by local landowners. Furthermore, parcels managed under land use plans for conservation and restoration are more likely to be associated with adverse selection than parcels managed for financial returns such as harvest of non-timber forest products, silviculture, and silvopasture. However, prior to recommending that PES programs focus on land uses with higher potential earnings, a greater understanding is needed of the degree to which these land uses meet ecological and biodiversity goals of PES programs. We suggest that increased spatial targeting of enrollment, along with enrollment of local landowners and further incentives for land uses that support conservation and restoration, could promote long-term conservation of forest lands.     

Understanding homophily of service failure within the hotel guest cycle: Applying NLP-aspect-based sentiment analysis to the hospitality industry

Online complaints have become increasingly influential on the purchasing behavior of customers in recent years. In an effort analyze large quantities of textual complaints and detail the various aspects of them, Aspect-Based Sentiment Analysis was looked to as an ideal framework to take on the task. This study set out to synthesize specific service failure items and categorize them into the groupings related to the hotel guest cycle and the corresponding operations, then compare the patterns of expression used by Asian and Non-Asian guests as the related their hotel experiences. A total of 390,236 online complaint terms posted about 353 hotels in the UK by hotel guests from 63 nations were manually derived from TripAdvisor for analysis. With consideration given to the homophily theory, we posited that Asian and non-Asian guests would exhibit similarities and differences with respect to the service failures they encountered when presented with various items of service. The results confirmed this as Asian guests were shown to encounter more service failures with respect to the engineering segment of operations (e.g. hotel room equipment issues), while non-Asian guests encountered more service failures on the housekeeping end of operations (e.g. toilets, public areas, cleanliness, and bedding). By organizing the failures according the four stages of the guest cycle, it was observed that approximately 80% of the service failures occurred during the occupancy period. This study contributes to the existing literature on hotel guest satisfaction both with respect to the methodology it uses and the new findings it presents on differences in perceptions of service failures members among different cultures.     

Back to the future. Is industry 4.0 a new tecno-organizational paradigm? Implications for Latin American countries

ABSTRACT

The objective of this article is to establish a dialogue between the recent ‘Industry 4.0’ (I4.0) literature and evolutionary neo-Schumpeterean studies about techno-organizational paradigms. In that direction, we wonder whether I4.0 constitutes a new paradigm, as it is assumed by the first group of literature, or it represents – until the moment – an intensification of key features of the information and communication technology (ICT) paradigm, following the second group of studies. Some questions are raised about the implications of I4.0 for developing countries (DEC), afterwards. Specifically, we reflect on the possibilities of these countries to identify and take advantage of new windows of opportunity, opened by the development and diffusion of these technologies. In this regard, the review of recent Latin American experience raises strong concerns regarding I4.0 as a new source of intra- and international heterogeneity, linked to the severe difficulties these countries have in appropriating these technologies in the form of productivity gains and quasi-rents. It seems that this is partially derived from weak technological, organizational, and connectivity capabilities paths of accumulation between institutions and actors.