Chapter One — 1.1 Background to the Study

Data-Driven Product Decision Making has increasingly attracted the attention of researchers, regulators, and practitioners concerned with customer satisfaction with digital products. This growing interest reflects the recognition that data-driven product decision making does not operate in isolation, but interacts with a wider set of institutional and market conditions found within the Nigerian Oil and Gas Sector.

the Nigerian Oil and Gas Sector presents a useful setting for examining this relationship precisely because the conditions there — structural, regulatory, and behavioural — differ from those typically assumed in the broader literature, most of which draws on evidence from more developed economies.

1.2 Statement of the Problem

While data-driven product decision making is widely discussed in policy and industry circles, empirical evidence on its actual effect on customer satisfaction with digital products within the Nigerian Oil and Gas Sector remains sparse and, in places, contradictory. This lack of localized, rigorous evidence makes it difficult for decision-makers to know with confidence whether current approaches to data-driven product decision making are helping or hindering customer satisfaction with digital products — a gap this study sets out to close.

1.3 Objectives of the Study

1. To examine the effect of Data-Driven Product Decision Making on customer satisfaction with digital products in the Nigerian Oil and Gas Sector.
2. To assess the extent to which data-driven product decision making influences customer satisfaction with digital products within the study area.
3. To identify the challenges associated with data-driven product decision making in relation to customer satisfaction with digital products.
4. To recommend strategies for optimizing data-driven product decision making in order to improve customer satisfaction with digital products.

1.4 Research Questions

1. What is the effect of data-driven product decision making on customer satisfaction with digital products in the Nigerian Oil and Gas Sector?
2. To what extent does data-driven product decision making influence customer satisfaction with digital products within the study area?
3. What challenges are associated with data-driven product decision making in relation to customer satisfaction with digital products?
4. What strategies can be adopted to optimize data-driven product decision making in order to improve customer satisfaction with digital products?

1.5 Significance of the Study

This study is significant to a range of stakeholders. For policymakers and regulators, the findings offer evidence to guide the design of frameworks that support healthier outcomes around customer satisfaction with digital products. For managers and practitioners within the Nigerian Oil and Gas Sector, the study provides practical insight into how data-driven product decision making can be better managed. Finally, it contributes to the academic literature on product management by extending existing knowledge into a specific empirical context, and offers a reference point for future researchers.

1.6 Scope of the Study

In terms of scope, this study confines itself to the Nigerian Oil and Gas Sector, focusing specifically on how data-driven product decision making relates to customer satisfaction with digital products within that setting. Findings are interpreted within these boundaries rather than as universal claims applicable to every organization or market.