Despite its popularity as a strategy to accelerate innovations there is evidence that open innovation does not always increase innovation performance. Extant literature provides inconsistent and inconclusive arguments in respect of the relationship between open innovation practices and innovation performance. Existing theories mostly have an internal focus and fall short of explaining why some firms succeed in open innovation initiatives and why others fail. Open innovation is about knowledge flows. We argue that boundary conditions matter in innovation performance and sequential coherence can explain why some succeed while others fail in open innovation. A qualitative inquiry we made reveals that sequential coherence that facilitates the knowledge transfer at boundary level influences innovation performance in open innovation initiatives. Sequential coherence is measured through the push and the pull effects by willingness and ability of the participants of teacher firm and the preparedness and ability of the participants from the student firm respectively. We trust that our findings bridge a gap in open innovation literature. These initial findings could be generalized through a quantitative study with larger samples. Managerial implications of the finding is that ability to scan the entire chain of knowledge flow across boundaries and taking corrective measures for any bottlenecks or hindrances observed can bring better results from open innovation initiatives. Further, sequential coherence leads to multiple research opportunities in furthering our knowledge in open innovation.

Technology adoption is a concern of business practitioners, policy makers and academics. Slow or low adoption can deprive stakeholders from intended benefits. Existing theories concerning technology adoption mostly focus on factors within a single organization. In this concept paper, we argue that sequential coherence which addresses knowledge flows that cross borders between organizations can provide enhanced insights in understanding technology adoption. Sequential coherence takes into consideration factors of both the transferor organization and the recipient organization. We propose a novel conceptual model of technology adoption based on sequential coherence. It takes into consideration the perceived usefulness and perceived ease of using technology. We have coined the model CUE (Coherence, Usefulness and Ease of use) of technology adoption. The CUE model can be used by practitioners, policy makers and academics.

Knowledge sharing capabilities are the abilities of the employees to share their knowledge with colleagues and associates. IT professionals play a significant role in organisations as they share their knowledge with others. Although a few scholars in the western context discuss the organizational and technological perspective in employees' knowledge sharing capabilities, a vacuum remains to fill this subject matter in a Sri Lankan context. There are currently minimal and obsolete studies on how personal and organisational factors play an essential role in IT professionals' knowledge sharing capabilities. Therefore, the researchers investigated the personal, organisational, and technological factors in developing IT professionals' knowledge sharing capabilities in Sri Lanka.The study uses a self-administered questionnaire. The convenience sampling technique applies to collect data. Descriptive analysis, correlation coefficient and multiple regression analysis employ as the analysing techniques. Among the 368 IT professionals in eight ICT companies in the Western province, Sri Lanka, 59.5% were male, and most of the respondents are in the age group of 31-40. 44.8% of the respondents have work experience between 11 and 20 years, while 54% have obtained their postgraduate education. The findings highlight that IT professionals' level of knowledge sharing capabilities in Sri Lanka is moderately high. Further, It identifies that top management support and knowledge management system quality are critical in the Sri Lankan context. However, the study points outs that organisational rewards and KMS infrastructure are not significantly associated with the knowledge sharing capabilities of IT professionals in Sri Lanka. In addition, the education level and years of working experience acted as moderating variables between IT professionals' factors and knowledge sharing capabilities in Sri Lanka.

Amidst empirical evidence that claim corporate reputation affects subsequent financial performance of firms, the literature does not provide a comprehensive explanation for this relationship. The aim of this article therefore is to provide a theoretical explanation on how corporate reputation affects the subsequent financial performance. The available literature supports that corporate reputation signals trustworthiness of firms, based on which stakeholders make decisions such as to trust a firm and allocate valuable, scarce resources. The resources so allocated would help a firm to achieve its objectives, including targeted financial performance in subsequent years. In order to explain the role of trust in the relationship between corporate reputation and subsequent financial performance, the researchers combine two extensively referred models from the reputation and trust literature, the model of reputation-financial performance dynamics and the proposed model of organizational trust. The signaling theory and the stakeholder theory provide the theoretical explanation for the new model proposed.

Personal selling, especially in knowledge intensive contexts, demands effective knowledge transfer between all the parties involved. In our study, we have developed a new conceptual model of sequential coherence that helps to better understand knowledge flows in personal selling. The model describes how social capital, contact intensity, trust and rewards influence sequential coherence. Sequential coherence refers to the reciprocal result of the pushing effects induced by individuals of a teaching firm and the pulling effects induced by individuals of a learning firm that enables knowledge to flow across the boundaries of firms (Yapa et al., 2019). The objective of this concept paper is to explain how sequential coherence can be used as a success factor in personal selling of technology products. Our contribution is useful to both scholars and practitioners.The objective of this concept paper is to explain how sequential coherence can be used as a success factor in personal selling of technology products. We first present a literature review by highlighting scholarly work of prior researchers to establish connections between knowledge transfer and personal selling success. Next, we describe sequential coherence and its measurable dimensions. Factors that can influence sequential coherence in the context of personal selling are highlighted as the final section of the literature review. Then, we present a conceptual model with a brief note on operationalization followed by a discussion and a conclusion.