Please cite this article as: D. Sedera, S. Lokuge, M. Atapattu, U. Gretzel, Likesmdashthe key to my happiness: The moderating effect of social influence on travel experience, Information and Management (2017), http://dx.A c c e p t e d M a n u s c r i p t 2 Likes-the key to my happiness: The moderating effect of social influence on travel experienceA c c e p t e d M a n u s c r i p t 3 that 52% of travelers changed their original travel plans as a result of comments received through social media [21]. Further, shared information about travel experiences has become an important source that influences the decisions of potential holidaymakers. According to "The Australia.com" Facebook survey, 72% participants used Facebook for seeking "holiday inspirations," and 82% of them were inspired to visit Australia through Facebook.Furthermore, the study found that 70% travelers update their Facebook status while on vacation, seeking acknowledgments from their friends and family [21].The social influence asserted through Facebook before and after the travel provides the context to this study. Herein, it is argued that an individual is subjected to social influence prior to travel when s/he receives feedback through comments or likes 1 of about the travel.This influences the traveler's expectations of the destination, places of travel, time of travel, and/or the mode of travel. Similarly, a traveler's post-travel experience is influenced by the comments s/he receives for their postings such as photographs and status updates made during the travels. As such, this study employs the expectation confirmation theory (ECT) to investigate how social media asserts social influence on the traveler's expectations and postexperience. Following Miller [22], it is argued that each traveler will develop preconsumption expectations and the relationship between expectations (i.e., pre-travel) and confirmation can be moderated by social influence. Similarly, it is logical to argue that their satisfaction (i.e., post-travel) is just as fluid and moderated by social influence.This research is designed to answer the following research questions: "Does social influence moderate the relationship between pre-travel expectations and confirmation?" and "Does social influence moderate the relationship between confirmation and post-travel satisfaction?" The scope of the study provides both researchers and practitioners an opportunity to observe the important role of social influence as a moderator.The two research questions required a longitudinal study to gauge the moderating effect of social influence on (i) the relationship between expectations and confirmation and (ii) the relationship between confirmation and satisfaction in the ECT [23][24][25]. It is noted that most ECT and social influence studies are simply cross-sectional, and the present study is one of the very few studies to recognize the impact of time lag between variables longitudinally using the same respondents before and after a leisure tour. M a n u s c r i p t 30 Darshana SederaDar...

The advent of cloud technology involving low subscription overheads cost has provided small and medium-sized enterprises (SMEs) with the opportunity to adopt new cloud-based corporate-wide systems (i.e., cloud ERP). This technology, operating through subscriptionbased services, has now provided SMEs with a complete range of IT applications that were once restricted to large organisations. As anecdotal evidences suggest, SMEs are increasingly adopting cloud-based ERP software. The selection of an ERP is a complex process involving multiple stages and stakeholders, suggesting the importance of closer examination of cloud ERP adoption in SMEs. Yet, prior studies have predominantly treated technology adoption as a single activity and largely ignored the issue of ERP adoption in SMEs. Understanding of the process nature of the adoption and the factors that are important in each stage of the adoption potentially may result in guiding SMEs to make well-informed decisions throughout the ERP selection process. Thus, our study proposes that the adoption of cloud ERP should be examined as a multi-stage process. Using the theory of planned behaviour (TPB) and Ettlie's adoption stages, as well as employing data gathered from 162 owners of SMEs, our findings show that the factors that influence the intention to adopt cloud ERP vary significantly across adoptive stages.

In hyper competition, firms that are agile: sensing and responding better to customer requirements tend to be more successful and achieve supernormal profits. In spite of the widely accepted importance of customer agility, research is limited on this construct. The limited research also has predominantly focussed on the firm's perspective of agility. However, we propose that the customers are better positioned to determine how well a firm is responding to their requirements (aka a firm's customer agility). Taking the customers' stand point, we address the issue of sense and respond alignment in two perspectives-matching and mediating. Based on data collected from customers in a field study, we tested hypothesis pertaining to the two methods of alignment using polynomial regression and response surface methodology. The results provide a good explanation for the role of both forms of alignment on customer satisfaction. Implication for research and practice are discussed.

Information systems (IS) studies regularly assume linearity of the variables and often disregard the potential non-linear theoretical interrelationships among the variables. The application of polynomial regression and response surface methodology can observe such non-linear theoretical assumptions among variables. This methodology enables to examine the extent to which two predictor variables relate to an outcome variable simultaneously. This paper utilizes the expectation confirmation theory as an example and provides a methodological commentary that illustrates a step-wise process for conducting a polynomial regression and response surface methodology.

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