Browsing by Author "Rajapaksha Yapa, S"

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    PublicationOpen Access
    Identifying the Factors Influencing Customer Satisfaction; A Case Study on ABC Bank PLC, Sri Lanka
    (SLIIT Business School, 2023-12-14) Gunasekara, T. P. A. D.; Mendis, P. H. P. B.; Perera, H. G. N. D.; Malshan, U. B.; Rajapaksha Yapa, S; Kothalawala, C
    This study aims to determine the specific factors that influence Customer Satisfaction in the banking sector of Sri Lanka because the economic growth and stability of a country depend on the soundness of its banking sector. The sole participants in this research are clients of ABC Bank in the Colombo district. The technique is based on primary data gathered using a wellstructured questionnaire. A hundred individuals were chosen at random from the database of ABC Bank. The respondents of the study are existing ABC Bank customers living in the Colombo district aged between 18-40 years. Descriptive statistics and correlation analysis were used in the examination of the data that was gathered. According to the findings, customer happiness may be affected by Service Quality, accessibility, product pricing, and e-banking. The management of the bank should determine the elements that might reduce Customer Satisfaction and work to improve them while simultaneously enhancing the variables that can boost customers.
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    PublicationOpen Access
    A novel metaphor concerning the terminology of Open Innovation
    (Canadian Center of Science & Education, 2021-01-27) Senathiraja, R; Rajapaksha Yapa, S; Kauranen, I
    The objective of this article is to present a metaphor concerning the terminology of open innovation. This metaphor will help both academics and practitioners in getting a deeper understanding of the terms and their relationships in this emerging field. An electrical circuit is used as the metaphor. In it, the following open innovation terms are included: inbound open innovation, outbound open innovation, sequential coherence, dynamic innovation capabilities, knowledge flow, absorptive capacity, organizational inertia, and innovation performance. A corresponding term for each one of these open innovation terms is given in the metaphor. Within an organization, open innovation involves the internal exploration of external knowledge and external exploitation of internal knowledge. Open innovation is gaining wide attention of researchers as it impacts innovation performance of organizations. Systematic metaphor analysis is a qualitative research method. A metaphor is an implicit comparison in which a word or phrase that originally denotes a certain object or concept is applied to another. Time tested relationships among variables in the metaphor of electric circuit offer new insights in the domain of open innovation.
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    PublicationOpen Access
    Sequential Coherence: A Novel Determinant of Open Innovation
    (SSRN, 2019-09-05) Rajapaksha Yapa, S; Senathiraja, R; Poesche, J; Kauranen, I
    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.
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    PublicationOpen Access
    Time Orientation & Sequential Coherence as Novel Determinants of Open Innovation Performance
    (University of Peradeniya, Sri Lanka, 2020-11-22) Kauranen, I; Rajapaksha Yapa, S; Senathiraja, R; Poesche, J
    The aim of this paper is to introduce two novel variables that can explain variations of innovation performance in open innovation initiatives. Open innovation is a popular strategy among business organizations in promoting innovations. However, it does not always increase innovation performance. The reasons for the varying innovation performance in open innovation initiatives cannot be fully explained by the existing theories and variables used. This article explains how a mixed method research that has been undertaken with the objective of identifying novel determinants to explain varying innovation performance in open innovation initiatives has been progressing up to its final phase. This research follows a sequential exploration strategy as its research design. The ontology of the subject research is pragmatism. Two new determinants identified through the qualitative inquiries namely time orientation and sequential coherence have been incorporated to a conceptual model that would be tested using data collected from software firms as the final phase of the research.
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    PublicationOpen Access
    Why Adoption of Some Technologies is Faster? An Explanation Through Sequential Coherence
    (SSRN, 2019) Rajapaksha Yapa, S; Senathiraja, R; Poesche, J; Kauranen, I
    Technology adoption is a concern for 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 the technology. We have coined the model the CUE (Coherence, Usefulness and Ease of use) model of technology adoption. The CUE model can be used by practitioners, policy makers, and academics.