Abstract:
The work undertaken in the dissertation is of pioneering nature integrating world
databases to accrue knowledge about economies and enterprises around the globe. It
is an endeavor to demonstrate the adequacy of applying data mining techniques in
global databases concealing heaps of knowledge about enterprises engaged in
manufacturing and exporting in the global context. A cohesive and coherent
exploration of databases from repositories of World Bank, GEM, WEF and IFC’s
Enterprise Survey elucidates the patterns of internationalization of enterprises through
manufacturing exports in developed and developing economies. We have followed
inductive reasoning methodology using symbiosis of statistical modeling and data
mining coupled with extensive data visualizations.
The exploratory research has asserted the fitness of manufacturing exports as the core
engine for economic health of a country. Both Kruskal-Wallis and Chi-square tests
affirm that manufacturing export share level is not independent of economy type and,
developed economy block shares 77% of world manufacturing exports matching to
their share in world GDP. Manufacturing exports per capita for world five economies
ranks them exactly analogous to their income-group ranks. The predictive MLR
modeling reveals a positive relationship between GDP and manufacturing exports for
LMC and UMC economies. LMC economy countries have the prospects of 14%
increase in GDP share by unit increase in manufacturing export share.
The findings from the global databases regarding economies and enterprises in these
economies are in unison. The enterprises of the developing economies (LIC, LMC
and UMC) have more inclination towards manufacturing than economies and
enterprises of developed (NOC, OEC) block. However, the enterprises of developed
economy block lead by a significant margin in terms of exporting and manufacturing
exports. The enterprises of LIC economy block portrays an exorbitant despondency in
all spheres of activities ranging from manufacturing to exporting with pathetic state of
entrepreneurial climate culminating in extreme level of poverty.
Enterprises in Pakistan portray a posture identical to other countries of LMC
economy. K-means and HCA clustering identify LFE (Large, Foreign and Exporter)
enterprises in Pakistan to form one group and align their practices benefiting from
information and communication technologies (ICT) to boost and spearhead the
internationalization through exports. Both statistical and data mining methodologies
work in unison to identify characteristics of a Pakistani SME to be exportable.
Registration with original equipment manufacturer (OEM) is a significant key
determinant for an enterprise to acquire the exporting status.