In contemporary society, many people move away from their personal networks for extended periods to reach professional and/or educational goals. This separation can often lead to feelings of loneliness, which can be stressful and sometimes debilitating for the individual. We seek to understand how a person's use of online social networks (OSNs)Ñtechnology-enabled tools that assist users with creating and maintaining their relationshipsÑmight affect their perceptions of loneliness. Prior research has offered mixed results about how OSNs affect lonelinessÑreporting both positive and negative effects. We argue in this study that a clearer perspective can be gained by taking a closer look at how individuals approach their relationship management in OSNs. Building on theoretical works on loneliness, we develop a model to explain the effects of relationship characteristics (i.e., relationship orientation, self-disclosure, and networking ability) and OSN features (i.e., active or passive) on perceived loneliness. Our findings show that OSN can be linked to both more and less perceived loneliness, that is, individuals' relationship orientation significantly affects their feelings of loneliness, which are further moderated by their degree of self-disclosure within the OSN. Furthermore, how users engage in the OSN (either actively or passively) influences their perceptions of loneliness. Practical implications regarding perceived loneliness include recommendations for firms to encourage mobile workers to utilize OSNs when separated from others, for education providers to connect with their new students before they arrive, and for users to utilize OSNs as a social bridge to others they feel close with. > >
Mixed methods research is an approach that combines quantitative and qualitative research methods in the same research inquiry. Such work can help develop rich insights into various phenomena of interest that cannot be fully understood using only a quantitative or a qualitative method. Notwithstanding the benefits and repeated calls for such work, there is a dearth of mixed methods research in information systems. Building on the literature on recent methodological advances in mixed methods research, we develop a set of guidelines for conducting mixed methods research in IS. We particularly elaborate on three important aspects of conducting mixed methods research: (1) appropriateness of a mixed methods approach; (2) development of meta-inferences (i.e., substantive theory) from mixed methods research; and (3) assessment of the quality of meta-inferences (i.e., validation of mixed methods research). The applicability of these guidelines is illustrated using two published IS papers that used mixed methods.
Enterprise system implementations often create tension in organizations. On the one hand, these systems can provide significant operational and strategic benefits. On the other hand, implementation of these systems is risky and a source of major disruptions. In particular, employees experience significant changes in their work environment during an implementation. Although the relationship between ES implementations and employees' jobs has been noted in prior research, there is limited research on the nature, extent, determinants, and outcomes of changes in employees' job characteristics following an ES implementation. This paper develops and tests a model, termed the job characteristics change model (JCCM), that posits that employees will experience substantial changes in two job characteristics (i.e., job demands and job control) during the shakedown phase (i.e., immediately after the rollout) of an ES implementation. These changes are theorized to be predicted by work process characteristics, namely perceived process complexity, perceived process rigidity, and perceived process radicalness, that in turn will be influenced by technology characteristics (i.e., perceived technology complexity, perceived technology reconfigurability, and perceived technology customization). JCCM further posits that changes in job characteristics will influence employees' job satisfaction. Longitudinal field studies conducted in two organizations (N = 281 and 141 respectively) provided support for the model. The scientific and practical implications of the findings are discussed.
Notwithstanding potential benefits, such as quality of interorganizational relationships and operational and strategic gains, adoption of information technology (IT)-enabled interorganizational business process standards (IBPS) is still limited. Given that these standards are designed for interorganizational business processes, we suggest that adoption of these standards depends not only on the factors pertinent to a focal firm but also on factors that represent synergies between a focal firm and its trading partners. In this paper, building on the technological, organizational, and environmental (TOE) framework and interorganizational theories, we propose a model that postulates that a set of TOE factors will have synergistic effects (i.e., interactions between a focal firm's and its partner's factors) on IBPS adoption. We tested our model in a study of 248 firms (124 dyads) in the high-tech industry implementing RosettaNet-based IBPS and found that three TOE factors (i.e., process compatibility, standards uncertainty, and technology readiness) had synergistic effects and two factors (i.e., expected benefits and relational trust) had direct effects on IBPS adoption. We also found that IBPS adoption led to greater relationship quality (i.e., partnering satisfaction) and operational efficiency (i.e., cycle time). Further, we found that IBPS adoption mediated the effect of TOE factors on partnering satisfaction and cycle time.
Employees' underutilization of new information systems undermines organizations' efforts to gain benefits from such systems. The two main predictors of individual-level system use in prior research--behavioral intention and facilitating conditions--have limitations that we discuss. We introduce behavioral expectation as a predictor that addresses some of the key limitations and provides a better understanding of system use. System use is examined in terms of three key conceptualizations: duration, frequency, and intensity. We develop a model that employs behavioral intention, facilitating conditions, and behavioral expectation as predictors of the three conceptualizations of system use. We argue that each of these three determinants play different roles in predicting each of the three conceptualizations of system use. We test the proposed model in the context of a longitudinal field study of 321 users of a new information system. The model explains 65 percent, 60 percent, and 60 percent of the variance in duration, frequency, and intensity of system use respectively. We offer theoretical and practical implications for our findings.
Organizations have not fully realized the benefits of interorganizational relationships (IORs) due to the lack of cross-enterprise process integration capabilities. Recently, interorganizational business process standards (IBPS) enabled by information technology (IT) have been suggested as a solution to help organizations overcome this problem. Drawing on three theoretical perspectives, i.e., the relational view of the firm, institutional theory, and organizational inertia theory, we propose three mechanisms—relational, influence, and inertial—to explain the assimilation of IBPS in organizations. We theorize that these mechanisms will have differential effects on the assimilation of IBPS in dominant and nondominant firms. Using a cross-case analysis based on data from 11 firms in the high-tech industry, we found evidence to support our propositions that relational depth, relationship extendability, and normative pressure were important for dominant firms while relational specificity and influence mechanisms (coercive, mimetic, and normative pressures) were important for nondominant firms. Inertial mechanisms, i.e., ability and willingness to overcome resource and routine rigidities, were important for both dominant and nondominant firms.