Abstract:
Supply chain strategy is widely recognized as a crucial part of an organizational strategy.
Supply chain strategy, organizational functions related to supply chain partners and performance
are important issues in supply chain management research. However, the foundation of various
aspects of supply chain strategy, such as quality focus and innovation focus, and their
relationships with functions of supply chain partners is less known. Similarly, the structure
encompassing the supply chain strategy, organizational objectives and functions, and various
organizational performance measures requires a better understanding.
This dissertation proposes a macro-structured framework to describe the relationships
among organizational supply chain strategy, objectives, internal and external functions, as well
as performance1. The dissertation limits the scope of empirical inquiry to three complementing
theoretical themes that stem from the macro research framework. Firstly, the dissertation seeks to
establish and validate a theoretical model linking a multi-aspect supply chain strategy construct,
core operational functions (such as process management and product development), and
organizational performance. Secondly, the dissertation attempts to establish a relationship
extending from supply chain strategies (lean and responsive) to supplier functions (supplier
quality, cost effectiveness, flexibility, and delivery reliability), which in turn impact buyer
performance. Thirdly, the dissertation proposes a model that links innovation-focused supply
chain strategy and performance. The third model argues for a positive impact of supply chain
innovation strategy on innovative buyer-supplier relationship (covered by the constructs supplier
focus, buyer-supplier innovation intent, and buyer-supplier innovation structure) leading to
enhanced product innovation, which in turn has positive impact on business performance.
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The Chapters 2, 3, and 4 of this dissertation are three stand‐alone research papers.
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Additionally, the dissertation seeks to explore the linkages between organizational demographics
and product innovation.
The dissertation collects empirical data using a literature-based research questionnaire
from 191 related managers from Pakistan from various industrial sectors of the sampling frame
to investigate the theoretical models. In addition, a data set from 105 companies from various
industrial sectors of India boosts the sample size to 296. The dissertation also presents the results
of the tests of the hypotheses on a collective sample of 296 companies (191 from Pakistan and
105 from India). The dissertation uses structural equation modeling and hierarchical regression
on AMOS (Version 18) and SPSS (Version 19) respectively for the data analyses.
The data validates the theoretical basis and usefulness of all the constructs. The empirical
tests of hypothesized models show that various supply chain strategy dimensions have overall
significant relationships with multiple performance areas through internal operations and
supplier functions. Firstly, the results of the study find a strong positive impact of supply chain
strategy on core internal operations, including product development, production technology,
process management, customer focus, and use of information technology. Furthermore, the
research finds an overall positive impact of supply chain strategy on performance through core
operational functions. Secondly, the study finds strong positive impact of supply chain strategy
on related supplier functions including supplier cost-effectiveness, supplier quality practices,
supplier delivery, and supplier flexibility, which in turn have an overall positive impact on
multiple performance areas of the buyer. Thirdly, the research establishes that supply chain
innovation strategy encourages an innovative buyer-supplier relationship leading to enhanced
product innovation and business performance.
In addition, the hierarchical regression analysis seeks to find relationships of various
organizational demographics, including foreign collaboration, age of company, export
orientation, and number of employees with product innovation. The regression analyses run on
Pakistani and Indian data sets separately find support for positive relationships of age of
company and foreign collaboration with product innovation in both data sets. The Pakistani data
set supports a positive relationship of export orientation with product innovation and the Indian
data set supports a positive relationship of number of employees with product innovation. Fin
ally, both data sets do not find a relationship between company revenue and product innovation.
The dissertation discusses theoretical and managerial implications of the findings of each
theoretical model. The dissertation improves theoretical understanding and removes managerial
ambiguity as to what constitutes supply chain strategy and how it impacts organizational
operations both in-house and at the supplier end, which in turn impact performance on multiple
fronts. The findings suggest that an alignment of supply chain strategy with internal and supplier
functions improves cost, quality, delivery, flexibility, and product innovation outcomes, leading
to enhanced buyer performance. Hence, it makes good business sense for managers to align
supply chain functions with supply chain strategy for performance improvement. Moreover, the
relationship of demographic variables with product innovation provides insights into how the
organizational context can nurture product innovation.
This dissertation provides a platform for several future research endeavors. For example,
the future research can extend the empirical investigation of the three theoretical models
presented here in another empirical setting using quantitative or qualitative research approach.
Moreover, the future research can empirically investigate the contingency effects of the
demographic variables on the hypothesized models presented here. Finally, it would be
interesting to proceed with an in-depth analysis of any significant differences between the
Pakistani and Indian companies.