How knowledge acquisition creates a competitive edge? A qualitative inquiry from international consultancy alliance

PurposeThe current study attempts to bridge the existing gap related to the role of knowledge acquisition from international alliance partners to improve competitiveness by examining the distinct processes of knowledge acquisition and the challenges confronted in this learning process in order to enhance local and international market performance.Design/methodology/approachFollowing case-study approach based on systematic combining, the study presents a case of knowledge acquisition and learning in the context of an international consultancy alliance between leading Pakistani and Chinese engineering firms using six in-depth interviews of key engineers to explore the dynamic mechanisms for knowledge acquisition and learning from the Chinese firm. Grounded analysis drawn upon the Straussian version of grounded theory (GT) {{Strauss, 1990 #136} Strauss, 1998 #139} is used for data analysis in this research.FindingsIt was found that the processes of explicit and implicit knowledge acquisition from Chinese firms are integrated consultancy working, social and technical adaptability and seeking confirmation about the work done and knowledge/theories and models used in work. However, these processes are quite complex, posing serious challenges for National Engineering Services, Pakistan to acquire the required knowledge, which can be addressed through partners' motivation to share and acquire knowledge, cultural intelligence and friendship and informal association. The study also found that the knowledge acquired from technologically advanced international organizations by the host partner in the international strategic alliance not only provides a competitive edge to the local host in its local market but also builds its capacity to undertake similar projects in other parts of the world, substantially enhancing its market success.Originality/valueAdding up to the current literature that focuses on knowledge acquisition in a parent-subsidiary relationship, the current research proposes a framework for knowledge acquisition in the unique context of international strategic alliances. The research provides managerial guidelines to manage knowledge acquisition for gaining a competitive edge that would be helpful for the managers in the era of growing interdependence among the organizations across the borders.

Quality Assurance Issues for Big Data Applications in Supply Chain Management

Heterogeneous data types, widely distributed data sources, huge data volumes, and large-scale business-alliance partners describe typical global supply chain operational environments. Mobile and wireless technologies are putting an extra layer of data source in this technology-enriched supply chain operation. This environment also needs to provide access to data anywhere, anytime to its end-users. This new type of data set originating from the global retail supply chain is commonly known as big data because of its huge volume, resulting from the velocity with which it arrives in the global retail business environment. Such environments empower and necessitate decision makers to act or react quicker to all decision tasks. Academics and practitioners are researching and building the next generation of big-data-based application software systems. This new generation of software applications is based on complex data analysis algorithms (i.e., on data that does not adhere to standard relational data models). The traditional software testing methods are insufficient for big-data-based applications. Testing big-data-based applications is one of the biggest challenges faced by modern software design and development communities because of lack of knowledge on what to test and how much data to test. Big-data-based applications developers have been facing a daunting task in defining the best strategies for structured and unstructured data validation, setting up an optimal test environment, and working with non-relational databases testing approaches. This chapter focuses on big-data-based software testing and quality-assurance-related issues in the context of Hadoop, an open source framework. It includes discussion about several challenges with respect to massively parallel data generation from multiple sources, testing methods for validation of pre-Hadoop processing, software application quality factors, and some of the software testing mechanisms for this new breed of applications

The US-ROK Alliance: the Feasibility of the Continuing US Military Presence in the Republic of Korea

<p>The U.S. – ROK alliance is currently on a high after a decade of fluctuating relations. Both the Obama and Lee administrations have been focused on producing a future plan that takes both nations strategic interests into account while also considering the changing dynamics in the region. The alliance partners have had to overcome differences of opinion on foreign policy, the rise of anti-Americanism in South Korea, the emergence of China as a power in the region, and the continuing nuclear ambitions and instability in North Korea. This paper discusses how the realignment of the force command structure and a unified long-term strategic plan, has effectively modified the USFK to better deal with these wide ranging issues and remain a force of strategic relevance now and in the future of Asia. The USFK therefore remains an important part of the U.S. – ROK alliance that has positive security implications for both the Korean Peninsula and its surrounding region. It has also become the catalyst for stronger all-round relations between the long-time allies, which lead to positive flow-on effects in economic matters such as the U.S. – ROK Free-Trade Agreement (KORUS FTA).</p>

The US-ROK Alliance: the Feasibility of the Continuing US Military Presence in the Republic of Korea

<p>The U.S. – ROK alliance is currently on a high after a decade of fluctuating relations. Both the Obama and Lee administrations have been focused on producing a future plan that takes both nations strategic interests into account while also considering the changing dynamics in the region. The alliance partners have had to overcome differences of opinion on foreign policy, the rise of anti-Americanism in South Korea, the emergence of China as a power in the region, and the continuing nuclear ambitions and instability in North Korea. This paper discusses how the realignment of the force command structure and a unified long-term strategic plan, has effectively modified the USFK to better deal with these wide ranging issues and remain a force of strategic relevance now and in the future of Asia. The USFK therefore remains an important part of the U.S. – ROK alliance that has positive security implications for both the Korean Peninsula and its surrounding region. It has also become the catalyst for stronger all-round relations between the long-time allies, which lead to positive flow-on effects in economic matters such as the U.S. – ROK Free-Trade Agreement (KORUS FTA).</p>

Intrinsic speed capabilities and alliance partner attractiveness

This study focuses on the role of intrinsic speed capabilities, which refer to the ability to execute investment projects faster than competitors, in the attractiveness and selection of alliance partners. We predict that intrinsically faster firms have a higher likelihood of being selected as alliance partners due to the potential of accelerating the realization of future revenue streams of an alliance project as well as of preempting slower competitors. We also expect that intrinsic speed capabilities substitute for deficiencies in alliance experience and firm innovativeness. Using data on construction projects in the global Liquefied Natural Gas industry, we find empirical support for our theoretical expectations. Our results suggest that firm speed plays an important role in alliance partner selection and has the potential to facilitate the generation of future growth options for firms due to greater partner attractiveness in the market for alliance partners.

Application of Mathematical Models to Assess the Impact of the COVID-19 Pandemic on Logistics Businesses and Recovery Solutions for Sustainable Development

The logistics industry can be considered as the economic lifeline of each country because of its role in connecting production and business activities of enterprises and promoting socio-economic development between regions and countries. However, the COVID-19 pandemic, which began at the end of 2019, has seriously affected the global supply chain, causing heavy impacts on the logistics service sector. In this study, the authors used the Malmquist productivity index to assess the impact of the pandemic on logistics businesses in Vietnam. Moreover, the authors used a super-slack-based model to find strategic alliance partners for enterprises. The authors also used the Grey forecasting model to forecast the business situation for enterprises during the period 2021–2024, in order to provide the leaders of these enterprises with a complete picture of their partners as a solid basis for making decisions to implement alliances that will help logistics enterprises in Vietnam to develop sustainably. The results have found that the alliance between LO7 and LO10 is the most optimal, as this alliance can exploit freight in the opposite direction and reduce logistics costs, creating better competitiveness for businesses.