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Although past research has investigated the impact of exploration and exploitation on firm performance, there is limited research on these effects in interorganizational relationships. We examine whether the boundary condition for ambidextrous learning can be extended from firms to long-term interorganizational relationships. Specifically, we focus on a particular aspect of learning—namely, explorative and exploitative knowledge sharing—and examine its impact on the performance of long-term relationships. We also theorize how ambidextrous management of the relationship and ontological commitment to span the syntactic, semantic, and pragmatic knowledge boundaries between partners enable knowledge sharing. Our theoretical predictions are tested using data collected from both account managers at customer firms responsible for the relationship with a leading supply chain vendor and account managers at the vendor firm responsible for relationships with customers. The findings suggest that both exploratory and exploitative knowledge sharing lead to relationship performance gains, that such sharing is enabled by the ambidextrous management of the relationship, and that such sharing is facilitated by ontological commitment. Interesting differences in the enablers and consequences of both forms of knowledge sharing are detected between customers and the vendor.

Consumer use of mobile devices as health service delivery aids (mHealth) is growing, especially as smartphones become ubiquitous. However, questions remain as to how consumer traits, health perceptions, situational characteristics, and demographics may affect consumer mHealth usage intentions, assimilation, and channel preferences. We examine how consumers' personal innovativeness toward mobile services (PIMS), perceived health conditions, health care availability, health care utilization, demographics, and socioeconomic status affect their (1) mHealth usage intentions and extent of mHealth assimilation, and (2) preference for mHealth as a complement or substitute for in-person doctor visits. Leveraging constructs from research in technology acceptance, technology assimilation, consumer behavior, and health informatics, we developed a cross-sectional online survey to study determinants of consumers' mHealth usage intentions, assimilation, and channel preferences. Data were collected from 1132 nationally representative US consumers and analyzed by using moderated multivariate regressions and ANOVA. The results indicate that (1) 430 of 1132 consumers in our sample (37.99%) have started using mHealth, (2) a larger quantity of consumers are favorable to using mHealth as a complement to in-person doctor visits (758/1132, 66.96%) than as a substitute (532/1132, 47.00%), and (3) consumers' PIMS and perceived health conditions have significant positive direct influences on mHealth usage intentions, assimilation, and channel preferences, and significant positive interactive influences on assimilation and channel preferences. The independent variables within the moderated regressions collectively explained 59.70% variance in mHealth usage intentions, 60.41% in mHealth assimilation, 34.29% in preference for complementary use of mHealth, and 45.30% in preference for substitutive use of mHealth. In a follow-up ANOVA examination, we found that those who were more favorable toward using mHealth as a substitute for in-person doctor visits than as a complement indicated stronger intentions to use mHealth (F₁,₇₀₂=20.14, P<.001) and stronger assimilation of mHealth (F₁,₇₀₂=41.866, P<.001). Multiple predictors are shown to have significant associations with mHealth usage intentions, assimilation, and channel preferences. We suggest that future initiatives to promote mHealth should shift targeting of consumers from coarse demographics to nuanced considerations of individual dispositions toward mobile service innovations, complementary or substitutive channel use preferences, perceived health conditions, health services availability and utilization, demographics, and socioeconomic characteristics.

A new model of competition, where competition is among supply chain networks rather than individual firms, is transforming traditional market-based buyer-supplier relations to one of competition among cooperative sets. In order to integrate and realize performance gains from participating in cooperative supply networks, the importance of information sharing across the supply chain has been emphasized in different literature streams. In this study, we examine the relational antecedents of this critical aspect of supply chain integration-that is, information flow integration. Our objective is to investigate the relationship between relational orientation of the focal firm, as characterized by (1) long-term orientation of its supply chain relationships, (2) asset specificity, and (3) interaction routines and the information flow integration between a firm and its supply chain partners. A research model was developed and data were collected from 110 supply chain and logistics managers in manufacturing and retail organizations. Our results suggest that tangible and intangible resources invested in supply chain relationships enable the integration of information flows with supply chain partners. Specifically, formal and informal interaction routines that take time and effort to develop enable integration of informational flows across a firm's supply chain. Investments in relation-specific assets and long-term orientation in relationships enable the development of these interaction routines.

Artificial intelligence (AI) offers a powerful means to accelerate precision oncology by individualizing care in an era of rapidly evolving treatment paradigms. However, there is limited regulatory oversights for safe clinical implementation of AI, and concerns surrounding data bias, ownership, and privacy have hindered broad integration into healthcare practice. In this perspective, we offer a forward-looking roadmap for the dissemination of AI in oncology. We discuss the role for AI in guiding biomarker-driven patient selection for clinical trials and in facilitating both personalized drug selection and de novo drug design by the potential to predict therapeutic response. We highlight the capabilities, and current limitations, of AI to inform realistic pathways for practical implementation.

Cooperative logistics relationships require the sharing of information, which must be enabled by the integration of disparate information systems across partners. In this article, we theorize business‐to‐business logistics relationships should be managed using cooperative and competitive postures. Based on data from 91 dyadic relationships using interorganizational information technology (IT), we find that performance gains accrue when parties share strategic information and customize IT; mutual trust enables IT customization and strategic‐information flows and equitable relationship‐specific investments positively impact IT customization, mutual trust, and performance. Among other scholarly and practical implications discussed, partners should compete on resources for IT customization and cooperate to share strategic information. Managers tend to think of relationships with firms as polar opposites and view them as entirely cooperative or entirely competitive. Our results support active balancing and understanding of both competitive and cooperative stances. Such an approach enables conditions for participation symmetry that yields greater performance gains.

In the context of software platforms, we examine how cross-side network effects (CNEs) on different platform sides (app-side and user-side) are temporally asymmetric, and how these CNEs are influenced by the platform’s governance policies. Informed by a perspective of value creation and capture, we theorize how the app-side and the user-side react to each other with distinct value creation/capture processes, and how these processes are influenced by the platform’s governance policies on app review and platform updates. We use a time-series analysis to empirically investigate the platform ecosystem of a leading web browser. Our findings suggest that while the growth in platform usage results in long-term growth in both the number and variety of apps, the growth in the number of apps and the variety of apps only leads to short-term growth in platform usage. We also find that long app review time weakens the long-term CNE of the user-side on the app-side, but not the short-term CNE of the app-side on the user-side. Moreover, we find that frequent platform updates weaken the CNEs of both the user-side and the app-side on each other. These findings generate important implications regarding how a software platform may better govern its ecosystem with different participants.

Background It has been shown in many solid tumors that the overexpression of the pro-survival Bcl-2 family members Bcl-xL and Mcl-1 confers resistance to a variety of chemotherapeutic agents. Mcl-1 is a critical survival protein in a variety of cell lineages and is critically regulated via ubiquitination. Methods The Mcl-1, Bcl-xL and USP9X expression patterns in human lung and colon adenocarcinomas were evaluated via immunohistochemistry. Interaction between USP9X and Mcl-1 was demonstrated by immunoprecipitation-western blotting. The protein expression profiles of Mcl-1, Bcl-xL and USP9X in multiple cancer cell lines were determined by western blotting. Annexin-V staining and cleaved PARP western blotting were used to assay for apoptosis. The cellular toxicities after various treatments were measured via the XTT assay. Results In our current analysis of colon and lung cancer samples, we demonstrate that Mcl-1 and Bcl-xL are overexpressed and also co-exist in many tumors and that the expression levels of both genes correlate with the clinical staging. The downregulation of Mcl-1 or Bcl-xL via RNAi was found to increase the sensitivity of the tumor cells to chemotherapy. Furthermore, our analyses revealed that USP9X expression correlates with that of Mcl-1 in human cancer tissue samples. We additionally found that the USP9X inhibitor WP1130 promotes Mcl-1 degradation and increases tumor cell sensitivity to chemotherapies. Moreover, the combination of WP1130 and ABT-737, a well-documented Bcl-xL inhibitor, demonstrated a chemotherapeutic synergy and promoted apoptosis in different tumor cells. Conclusion Mcl-1, Bcl-xL and USP9X overexpression are tumor survival mechanisms protective against chemotherapy. USP9X inhibition increases tumor cell sensitivity to various chemotherapeutic agents including Bcl-2/Bcl-xL inhibitors.

This paper focuses on strategic information flows between buyers and suppliers within logistics supply chain relationships and on subsequent relationship-specific performance outcomes. Our analysis of dyadic data collected from 91 buyer—supplier logistics relationships finds that buyer and supplier strategic information flows positively impact the relationship-specific performance of both sharing and receiving parties. Specifically, each party gains financially from improved management of assets, reduced costs of operations, and enhanced productivity. Moreover, each benefits operationally from improved planning, control, and flexibility of resources. Buyer dependence on the supplier increases buyer strategic information flows to the supplier. Additionally, buyer IT customization and both buyer and supplier trusting beliefs in the receiving party positively impact strategic information sharing with partners. This study suggests that partnerships for supply chain services engage in cooperative initiatives to generate relational rents and are an alternative to conventional \"arms length\" transactional exchanges. These partnerships need to be motivated to go beyond the sharing of order-related information (which must occur in transactional exchanges) and to share strategic information (which has the potential for both additional rent generation and risks of misappropriation).