stakeholders, including business leaders,
policymakers, and industry advocates. These
interviews served to refine the research topics and
develop appropriate survey instruments. Following
this, a pilot test of the questionnaire was undertaken
involving 100 companies to ensure its effectiveness
and clarity. Subsequently, the finalized questionnaire
was distributed to 800 randomly selected
manufacturers operating within industries affected by
globalization. These industries were chosen based on
their relevance to electronic systems.
The selection criteria for these sectors
encompassed various factors such as the number of
workers, annual sales activity, market dominance,
and the duration of presence in the market. The aim
was to encompass a diverse range of companies
within the study sample. Upon analysis, no significant
differences were found across these industry
classifications, suggesting that contextual variables
within the industries did not substantially influence
the study's findings. The questionnaire distribution
was staggered into three waves, each separated by
approximately two weeks. Respondents were
incentivized to participate, resulting in a response rate
of 32%.
Out of the 273 completed questionnaires
received, 268 were deemed valid for analysis. To
assess nonresponse bias, comparisons were made
between the characteristics of responding businesses
and those of a random sample of 50 non-responding
businesses. This analysis found no statistically
significant differences, indicating that nonresponse
bias was unlikely to impact the study outcomes.
Measures were presented on a 7-point scale to elicit
granular responses. Exploratory factor analysis was
employed to derive dimensions within the marketing
strategy construct scale. Factors such as leadership in
marketing, quality, and product specialization
emerged from this analysis.
The study also employed various performance
metrics to assess the overall health of each company.
These measures underwent validation through factor
analysis in LISREL 8 structural equations
computational modeling, ensuring their construct
validity. A high level of fit was observed across all
models, indicating the robustness of the measures
used. Additionally, Cronbach's alpha tests
demonstrated that the multi-item measures were
either highly reliable or sufficiently reliable. Overall,
the comprehensive approach to data collection,
analysis, and validation employed in this study
provides confidence in the reliability and validity of
the findings presented.
5 RESULT AND ANALYSIS
The hypotheses were subjected to rigorous
examination through three distinct model testing
approaches. Initially, t-tests were employed to
scrutinize the primary study construct scores,
discerning disparities between highly globalized and
less globalized enterprises. Subsequently, a
combination of multivariate regression and
correlation analyses was employed to scrutinize and
substantiate our hypotheses. Finally, a comparative
analysis of the hypotheses testing outcomes for the
two categories of companies was conducted, enabling
a nuanced understanding of the impacts of
globalization on various business models. A subset of
Small and Medium-sized Enterprises (SMEs) with an
international footprint (n = 216) was initially selected
for analysis. These enterprises boasted an average
workforce of 143 individuals, with employee counts
ranging from 5 to 500. With an annual revenue
generation of $100 million, they exhibited export
activities to three countries, with approximately 25%
of their revenue stemming from exports. This subset
was subsequently bifurcated into two groups of equal
size (n = 108 each), based on a median globalization
score. All statistical analyses were predicated upon
these classifications, offering a structured framework
for assessing the hypotheses.
Furthermore, SMEs grappling with the challenges
of globalization may derive substantial benefits from
embracing an entrepreneurial mindset. Businesses
imbued with such a spirit are predisposed towards
employing innovative marketing tactics to penetrate
unexplored markets and navigate complex business
landscapes adeptly. This is particularly pertinent for
SMEs, as deploying imaginative advertising
strategies, prioritizing product quality, and carving
out a niche through product specialization are
strategies likely to yield favourable outcomes. The
findings of subsequent studies, delving into the
validation of the study's hypotheses, are presented in
Table 1. Evaluation of hypotheses H1–H4, all centred
on bivariate relationships, was conducted through
correlation analysis utilising Pearson's correlation
coefficient. With respect to hypotheses H5–H7,
which share a common dependent variable, the
necessity to test only one regression equation arose.
Both hypotheses H1a and H1b, asserting a significant
linkage between an entrepreneurial mindset and
success in marketing and quality management,
garnered substantial support (p < .01). Hypothesis
H1c, positing a positive correlation between an
entrepreneurial mindset and product specialization,
received moderate backing (p < .05). Notably,