What Drives Innovation?: Inferences from an Industry-Wide Survey in Nigeria

This chapter seeks to make some contributions to the literature on firm-level innovation in Africa by attempting to identify the significant factors that explain the capability of firms in Nigeria to innovate using the results of an industry-wide study. We focused on the product and process innovation activities of firms between 2003 and 2006 and found differences in the factors that drive them at the firm level. Our results further show that interactions matter more than most innovation-related variables and that the most important actors that influence a firm’s innovation efforts are its customers and suppliers. We conclude that product and process innovations are not mutually exclusive and that a major key to successful innovation is how and with whom a firm collaborates. The implication of this for firms and policy makers is that an effectively wired innovation system where all stakeholders are active is critical for firm-level innovation capability.innovation; drivers; manufacturing industry; Nigeria; determinants

What Drives Innovation?: Inferences from an Industry-Wide Survey in Nigeria

This chapter seeks to make some contributions to the literature on firm-level innovation in Africa by attempting to identify the significant factors that explain the capability of firms in Nigeria to innovate using the results of an industry-wide study. We focused on the product and process innovation activities of firms between 2003 and 2006 and found differences in the factors that drive them at the firm level. Our results further show that interactions matter more than most innovation-related variables and that the most important actors that influence a firm’s innovation efforts are its customers and suppliers. We conclude that product and process innovations are not mutually exclusive and that a major key to successful innovation is how and with whom a firm collaborates. The implication of this for firms and policy makers is that an effectively wired innovation system where all stakeholders are active is critical for firm-level innovation capability

What Drives Innovation?: Inferences from an Industry-Wide Survey in Nigeria

This chapter seeks to make some contributions to the literature on firm-level innovation in Africa by attempting to identify the significant factors that explain the capability of firms in Nigeria to innovate using the results of an industry-wide study. We focused on the product and process innovation activities of firms between 2003 and 2006 and found differences in the factors that drive them at the firm level. Our results further show that interactions matter more than most innovation-related variables and that the most important actors that influence a firm’s innovation efforts are its customers and suppliers. We conclude that product and process innovations are not mutually exclusive and that a major key to successful innovation is how and with whom a firm collaborates. The implication of this for firms and policy makers is that an effectively wired innovation system where all stakeholders are active is critical for firm-level innovation capability

Learning to Innovate in Nigeria's cable and wire manufacturing sub-sector: inferences from a firm-level case study

Firm performance is known to be connected to firm-level innovation capability. Innovation capability, in turn, is an output of technological learning. This paper evaluates technological learning among firms in the Cable and Wire manufacturing sub-sector in Nigeria, using a purposively selected case firm. We developed a model of the relationship between the innovative activities of the firm - as evidence of its capability – and its knowledge acquisition methodology. These are discussed within the context of the firm’s stock of human capital. We found low technological innovation capability and high capability for organisational and marketing innovation. Preparedness for technological learning is relatively poor with staff training intensity of 5% and innovation intensity of 0.0075%. We therefore propose stronger interconnectedness of the National Innovation System and creation of industry specific structures that could enhance learning.Technological learning; sub-sector; Cable and Wire manufacturing industry

CONSUMER BEHAVIOUR MODELLING: A MYTH OR HEURISTIC DEVICE?

There is confusion in literature as to whether consumer behavior models are myths or heuristic devices. Myths are symbolic tales (believed as true, usually sacred) of the distant past, connected to belief systems or rituals, and may serve to direct social action and values while heuristic device is a provisional and plausible creation whose purpose is to discover the solution of a particular problem at hand. On the other hand, models are theoretical construction and simplified presentation of phenomenon. Notwithstanding the semantics in the definition and description of CB models in the literature, the crux of the matter presents two strange bed fellows: myth and heuristic device, and a number of conundrums are raised: Is it really possible to model a complex, dynamic and unpredictable entity like the consumer? Or is it just a scholarly exercise? To what extent, if necessary, can it help marketers achieve precision in understanding and predicting the customer or consumer behavior? This matter has polarized the scholarly community of marketers for decades. This conceptual paper, therefore, seeks to contribute to this discourse by undertaking an archival survey of the extant literature to look at the two sides of the coins, that is, whether CB is a myth or heuristic device. The study concludes that CB models provide a frame of reference for solving consumer problems and helping to point the way for hypothesis needed for CB theory development. This makes it a heuristic device. The implication is that consumer is at the center of all marketing programmes, scholars and practitioners should understand this and apply it successfully incorporating the views, preferences, feelings, motives and innuendoes of the consumer

Impact Of Artificial Intelligence And Big Data On The Oil And Gas Industry In Nigeria

This paper examines the concept of Artificial intelligence and Big Data as a field of study and its Impact on the oil and gas industry. Artificial Intelligence refers to the concept having of Computer systems that can perform tasks that would typically require human intelligence. Some such tasks are visual perception, speech recognition, decision-making and translation between languages, amongst others. “Big data” or Big Data analytics is a term often used to describe a huge or somewhat overwhelming data size that exceeds the capacity of both humans and the traditional software to process within an acceptable time and value. There is a big interface between the two concepts. AI does not stand alone; it requires big data for efficiency. AI and Big Data have brought about great impact across different industries and organizations. In the oil and gas industry, there have been an increasing installation of data recording sensors, hence data acquisition in exploration, drilling and production aspects of the industry. The industry is gradually making use of this huge data set by processing them using AI enabled tools and software to arrive at smart decisions that bring efficiency to operations in the industry. Some of such areas are analysis of seismic and micro-seismic data, improvement in reservoir characterization and simulation, reduction in drilling time and increasing drilling safety, optimization of pump performance, amongst others. Some of the solutions listed above have been successfully implemented in Nigeria, mostly by the international oil companies and some additional areas have also been impacted: managing asset integrity, tubular tally for drilling operations using RFID and the licensing and permit system by DPR. The industry has fully embraced the AI and Big Data concept, the future is very bright for more innovative solutions. However, there are still a few challenges especially in Nigeria. Some of these challenges include lack of local skilled manpower, poor data culture, security challenges in the industry’s operating areas, limited availability of good quality data, and understanding the complexity of the concept

Learning in Local Systems and Global Links: The Otigba Computer Hardware Cluster in Nigeria

Conventional wisdom suggests to the fact that poor countries are unlikely to be host to a “high-technology” sector and doing so within the organization of small and medium enterprises. This paper examines an unusual phenomenon of industrial organization in an African setting; the emergence of a cluster of an information technology hardware cluster in a very late industrializing country, Nigeria. The evolution of the Otigba Computer Hardware Village (OCV) in Lagos, Nigeria has proceeded largely without direct support from the state and indeed within a decidedly hostile institutional and arid infrastructural environment. Yet the cluster has thrived, thus far, with institutional support of a local trade and manufacturing association. The study holds important lessons for late industrializing countries entering into a knowledge intensive sector.learning, innovation system, computer hardware, clusters

Crime and Social media

Purpose-The study complements the scant macroeconomic literature on the development outcomes of social media by examining the relationship between Facebook penetration and violent crime levels in a cross-section of 148 countries for the year 2012. Design/methodology/approach-The empirical evidence is based on Ordinary Least Squares (OLS), Tobit and Quantile regressions. In order to respond to policy concerns on the limited evidence on the consequences of social media in developing countries, the dataset is disaggregated into regions and income levels. The decomposition by income levels included: low income, lower middle income, upper middle income and high income. The corresponding regions include: Europe and Central Asia, East Asia and the Pacific, Middle East and North Africa, Sub-Saharan Africa and Latin America. Findings-From OLS and Tobit regressions, there is a negative relationship between Facebook penetration and crime. However, Quantile regressions reveal that the established negative relationship is noticeable exclusively in the 90th crime decile. Further, when the dataset is decomposed into regions and income levels, the negative relationship is evident in the Middle East and North Africa (MENA) while a positive relationship is confirmed for sub-Saharan Africa. Policy implications are discussed. Originality/value- Studies on the development outcomes of social media are sparse because of a lack of reliable macroeconomic data on social media. This study primarily complemented three existing studies that have leveraged on a newly available dataset on Facebook

Infrastructure and growth in developing countries : recent advances and research challenges

This paper presents a survey of recent research on the economics of infrastructure in developing countries. Energy, transport, telecommunications, water and sanitation are considered. The survey covers two main set of issues: the linkages between infrastructure and economic growth (at the economy-wide, regional and sectoral level) and the composition, sequencing and efficiency of alternative infrastructure investments, including thearbitrage between new investments and maintenance expenditures; OPEX and CAPEX, and public versus private investment. Following the introduction, section 2 discusses the theoretical foundations (growth theory and new economic geography). Section 3 assesses the analysis of 140 specifications from 64 recent empirical papers-examining type of data used, level of aggregation, econometric techniques and nature of the sample-and discusses both the macro-econometric and micro-econometric contributions of these papers. Finally section 4 discusses directions for future research and suggests priorities in data development.Transport Economics Policy&Planning,Economic Theory&Research,Non Bank Financial Institutions,Infrastructure Economics,Political Economy

Infrastructure and Growth in Developing Countries: Recent Advances and Research Challenges

This paper presents a survey of recent research on the economics of infrastructure in developing countries. Energy, transport, telecommunications, water and sanitation are considered. The survey covers two main set of issues: the linkages between infrastructure and economic growth (at the economy-wide, regional and sectoral level) and the composition, sequencing and efficiency of alternative infrastructure investments, including the arbitrage between new investments and maintenance expenditures; OPEX and CAPEX, and public versus private investment. Following the introduction, section 2 discusses the theoretical foundations (growth theory and new economic geography). Section 3 assesses the analysis of 140 specifications from 64 recent empirical papers examining type of data used, level of aggregation, econometric techniques and nature of the sample and discusses both the macro-econometric and microeconometric contributions of these papers. Finally section 4 discusses directions for future research and suggests priorities in data development.