Search results

This study is centered on the identification of the most appropriate Technology Adoption (TA) model for investigating the adoption of Industry 4.0 technologies within pharmaceutical and related enterprises. The aim is to facilitate a smooth transition to advanced technologies while concurrently achieving environmental sustainability.

Selection of a suitable TA theory is carried out using a hybrid multi-criteria decision-making (MCDM) approach incorporating PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) and Fuzzy Measurement of alternatives and ranking according to Compromise solution (F-MARCOS) methods. A group of three experts is formulated for the ranking of criteria and alternatives based on those criteria.

The results indicate that out of all six TA models considered unified theory of acceptance and use of technology (UTAUT) model gets the highest utility function value, followed by the technical adoption model (TAM). Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.

Challenging times like COVID-19 pointed out the importance of technology in the pharmaceutical and healthcare sectors. TA studies in this area can help in the identification of critical factors that can assist pharmaceutical firms in their efforts to embrace emerging technologies, enhance their outputs and increase their efficiency.

The novelty of this research lies in the fact that the utilization of a TA theory prior to its implementation has not been witnessed in existing scholarly literature. The utilization of a TA theory, specifically within the pharmaceutical industry, can assist enterprises in directing their attention toward pertinent factors when contemplating the implementation of emerging technologies and achieving sustainable development.

This study explores the relationship between market orientation (MO), marketing capabilities, competitive advantage and firm performance with a focus on productivity and growth. This study answers on how MO and capabilities can enhance the performance of a firm. The following research points have been looked into: (1) business development in uncertain times, (2) strategies that complement both business development and competitive advantage at the same time and (3) how proactive MO helps the business organization to improve performance and attain category leadership in the desired therapeutic segment.

This article is based on an intensive case study that provides a thorough description, interpretation and understanding of the case. To accomplish the given goals, a public sector firm was carefully chosen and data were gathered through interviews with managers from different levels of the case company.

Results of this study explain that the MO concept is highly effective in building the marketing capabilities and sustaining the performance. The study offers business development strategies for the businesses where product differentiation is low and price ceiling is practiced on a certain category of products. MO when combined with marketing capabilities gives the organization a competitive advantage which ultimately enhances the firm performance.

The manuscript is based on a case study representing niche and mid-sized Indian pharmaceutical company, “Indian Immunologicals Limited” (IIL, a public sector firm), that adopted MO along with competitive business strategies in highly competitive, regulated and price control therapeutic category, anti-rabies vaccine. The company with a judicious mix of business strategies, operational excellence and MO not only enhanced productivity but also market share and created new business units for future.

This research investigates performance determinants of service sector foreign-owned subsidiaries located in an emerging market. The focus is on the two dimensions of organizational networks (Who do you know?) and competencies (What do you know?).

Data were collected via a large-scale survey of managing directors located in the midrange emerging economy of Taiwan. The data are analyzed using partial least squares structured equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA) techniques.

The results show the importance of intraorganizational network strength as a key determinant of subsidiary performance, and that combinations of interorganizational network strength and competencies can determine performance in several subsidiaries.

This article offers new insights by testing a theoretical framework based on network perspective and the competence-based view of the firm in an emerging market context. It also offers an additional twist by employing symmetric (PLS-SEM) and nonsymmetric (fsQCA) methods to test the framework. This allows to arrive at robust conclusions about the complementarity and substitutability of the applied theories. This research also contributes to the current literature by providing fine-grained insights into the nature and impact of competencies and networks. It is also one of the few studies to focus specifically on service sector subsidiaries.