1,721,009 research outputs found
Mitigating resource dependence on internet visibility providers: Exploring complementarity effects in the positioning of small hotels on online intermediaries
Full text linkBy integrating a resource dependence perspective with a complementarity view, this article investigates how online visibility affects the performance of hotels, through user-generated reviews and their presence on Internet portals. Our core argument is that when firms have gained a positive reputation from user-generated reviews, they should reduce their asymmetric dependence on Internet portals. Using a unique panel dataset of 276 small and medium-sized hotels from 2012 to 2014, we have found that good online visibility and the presence on multiple Internet portals are complementary conditions for the profitability of a hotel, and that the impact on profitability, due to the number of Internet portals on which firms are visible, is negative in the case of a poor reputation and leads to diminishing marginal returns in the case of a positive reputation
Profiting from big data analytics: The moderating roles of industry concentration and firm size
No full textBig data has gained momentum as an Information Technology that is capable of supporting organizational efforts to generate new and better business value. We here contribute to the emerging literature on big data analytic (BDA) solutions by investigating the moderating roles of firm size and industry concentration in the relationship between BDA solutions and firm profitability. Using a unique panel data set that covers 13 years, from 2004 to 2016, which contains information on 176 firms, we provide robust econometric empirical evidence of the negative moderating effects of industry concentration and the positive moderating effects of firm size on the relationship between the use of BDA solutions and firm profitability. Our findings provide strong empirical evidence on the business value of BDA as well as the essential role played by contextual conditions that managers should consider
Conceptualization, operationalization, and validation of the digital data stream Readiness Index
Full text linkThis article describes how in their search for value creation, companies are investing considerable resources in so-called "Big Data" initiatives. A peculiar aspect of these initiatives is the increasing availability of real-time streams of data. Successfully leveraging these streams to extract value is emerging as a critical competence for the modern firm. Despite the significant attention received, scholarly research on Digital Data Stream (DDS) remains insufficient. More importantly, there are no specialized definitions and measurement instruments that can move the field forward by initiating a cumulative research tradition. This article can provide clarification on key definitions, differentiating DDS from Big Data. Drawing on the organizational readiness concept, the DDS readiness index develops as a measure of organizational readiness to exploit real-time digital data. This article will conceptualize, define, operationalize and validate the index. By identifying the four dimensions of mindset, skillset, dataset and toolset as the elements of the DDS readiness index and discussing its managerial and research implications
The Host Canceled My Reservation! Impact of Host Cancelations on Occupancy Rate in the P2P Context: A Signaling Theory Perspective
No full textThe business of hosts in peer-to-peer (P2P) accommodation sharing has become an important source of revenue for individuals in many economies. However, there is a dearth of studies on hosts, specifically on the factors that affect host performance (i.e., occupancy rates). Drawing on the signaling theory and the source credibility theory and using a dataset of 41 610 reviews of 7004 Airbnb listings, we investigated the impact of cancelation rate—that conspicuously signals how many times a host has canceled a pre-existing reservation—on the host occupancy rate. Furthermore, we investigate the role of source credibility signals in reducing the impact of host cancelations. The results show that host signals of reputation, responsiveness, and expertise minimize the negative effect of cancelations on the occupancy rate. Theoretically, we advance the academic literature on credibility signals in P2P platforms and their moderating role on host performance. Managerially, the study helps P2P hosts in understanding the role of signals on occupancy rate
Designing flexible work practices for job satisfaction: the relation between job characteristics and work disaggregation in different types of work arrangements
Full text linkThe literature on flexible work practices has not yet evaluated in detail how the characteristics of a job affect job satisfaction. This study makes a distinction between two types of flexible work practices according to their aims: the accommodation of employees' personal lives (employment practice) and the operational reasons of a firm (work practice). Based on this distinction, we studied how the characteristics of a job, which reflect the use of ICT to support the spatial disaggregation of business processes, influence the relationship between the two types of flexible work practices and job satisfaction. We show, through a survey conducted on 987 workers, that the characteristics of a job that favour work disaggregation positively moderate the influence of flexible work as a work practice on job satisfaction, but they do not moderate the influence of flexible work as an employment practice. The implications for managers, workers and scholars are discussed
Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy
No full textPurpose: The effect of the transition toward digital technologies on today’s businesses (i.e. Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that have examined this phenomenon has grown rapidly. However, systematizing the existing findings is still a challenge, from both a theoretical and a managerial point of view. In such a setting, the knowledge management (KM) discipline can provide guidance to address such a gap. Indeed, the implementation of fundamental digital technologies is reshaping how firms manage knowledge. Thus, this study aims to critically review the existing literature on Industry 4.0 from a KM perspective. Design/methodology/approach: First, the authors defined a structuring framework to highlight the role of Industry 4.0 transition along with absorptive capacity (ACAP) processes (acquisition, assimilation, transformation and exploitation), while specifying what is being managed, that is data, information and/or (actual) knowledge, according to the data-information-knowledge (DIK) hierarchy. The authors then followed the systematic literature review methodology, which involves the use of explicit criteria to select publications to review and outline the stages a process has to follow to provide a transparent and replicable review and to analyze the existing literature according to the theoretical framework. This procedure yielded a final list of 150 papers. Findings: By providing a clear picture of what scholars have studied so far on Industry 4.0 transition, in terms of KM, this literature review highlights that among all the studied digital technologies, the big data analytics technology is the one that has been explored the most in each phase of the ACAP process. A constructive body of research has also emerged in recent years around the role played by the internet of things, especially to explain the acquisition of data. On the other hand, some digital technologies, such as cyber security and smart manufacturing, have largely remained unaddressed. An explanation of the role of these technologies has been provided, from a KM perspective, together with the business implications. Originality/value: This study is one of the first attempts to revise the literature on Industry 4.0 transition from a KM perspective, and it proposes a novel framework to read existing studies and on which to base new ones. Furthermore, the synthesis makes two main contributions. First, it provides a clear picture of the different digital technologies that support the four ACAP phases in relation to the DIK hierarchy. Accordingly, these results can emphasize what the literature has looked at so far, as well as which digital technologies have gained the most attention and their impacts in terms of KM. Second, the synthesis provides prescriptive considerations on the development of future research avenues, according to the proposed research framework
Negative signals on Peer-to-Peer platforms: The impact of cancellations on host performance across different property types
Full text linkScholars investigated the factors enhancing Airbnb hosts' performance; however, less research focused on negative signals, such as host cancellation messages. Cancellations are a negative signal that conspicuously reveals the number of times a host has canceled a pre-existing reservation. Drawing upon signaling theory and product involvement, we argue that cancellation signals have a negative impact on host occupancy, but this impact is moderated by the level of involvement associated with the accommodation type (i.e., private room, shared room, entire apartment). The study used a dataset of 31,778 reviews of 6384 Airbnb listings. The results show that accommodation type moderates the relationship, that is, the impact of cancellations is stronger for higher involvement accommodations (entire apartment) versus low involvement ones (shared rooms). This study ad-vances the literature on negative signals and helps P2P managers understand the impact of cancellations on their revenues
A big data analysis of COVID-19 impacts on Airbnbs’ bookings behavior applying construal level and signaling theories
No full textThis study investigates the impact of the COVID-19 pandemic on consumer booking behavior in the peer-to-peer accommodation sector. This study used a dataset composed of 2041,966 raws containing 69,727 properties located in all 21 Italian regions in the pre- and post-COVID-19. Results show that in the pre-COVID-19 period, consumers preferred P2P accommodations with price premiums and located in rural (versus urban) areas. Although the findings reveal a preference for entire apartments over shared accommodation (i.e., room, apartment), this preference did not change significantly after COVID-19 lockdowns. The contribution of this study lies in combining psychological distance theory and signaling theory to assess P2P performance in the pre- and post-COVID-19 periods
Assessing the importance of managerial and entrepreneurial experience in entrepreneurial training programs
No full textDo entrepreneurs’ managerial and entrepreneurial experiences influence the effectiveness of the entrepreneurial training (ET) programs they receive? We address this question through a field experiment conducted within a pre-incubation program that involves 132 early-stage start-ups in Italy. Half of the participants received ET based on the scientific approach to decision-making, and the remaining received heuristic training. We exploit exogenous variation from the experiment to show that only entrepreneurs without any managerial or entrepreneurial experience see the effects of ET in terms of the termination of nonpromising projects and pivot decisions. Conversely, only entrepreneurs with previous managerial or entrepreneurial experience see the effects of ET in terms of superior early revenue generated. These findings highlight the importance of designing tailored ET programs according to the prior experience of entrepreneurs
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