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This paper presents a new algorithm for detecting and characterizing potholes and bumps directly from noisy signals acquired using an Accelerometer. A wavelet transformation based filter was used to decompose the signals into multiple scales. These coefficients were correlated across adjacent scales and filtered using a spatial filter. Road anomalies were then detected based on a fixed threshold system, while characterization was achieved using unique features extracted from the filtered wavelet coefficients. Our analyses show that the proposed algorithm detects and characterizes road anomalies with high levels of accuracy, precision and low false alarm rates.

City branding has gained popularity as governance strategy. However, the academic underpinning is still poor, and city branding needs a more critical conceptualization, as well as more complex management systems. This paper challenges the use of a “one size fits all” city brand, which is still common practice in many places. The paper proposes that city branding involves much more complexity than is commonly thought and outlines a strategy that enables urban policy-makers, marketing researchers and (place) marketers alike to better deal with city branding.

The authors integrate insights from literature on place branding, brand architecture and customer-focused marketing.

The article argues that place brands (in general and communicated place brands in particular) are by definition very complex, due to their different target groups, diverse place offerings and various associations place customers could have. Thus, an advanced brand management including target group-specific sub-brands is needed.

The model will be helpful for place brand managers dealing with a diverse target audience, and is likely to improve the target group-specific communication.

The paper provides an insight into the complexity of city brands and acknowledges that the perception of city brands can differ considerably among different target groups. Additionally, it offers a more comprehensive definition of place brands. This will be helpful for city brand managers and researchers alike in dealing with city brand complexity.

Public authorities are required to organise new facilities to respond to changed user demands in terms of a public-owned school. The number of pupils attending the case study school will increase in the following years, as will the number of children attending a day nursery located on the present campus. In addition, the users of the campus have complained of building-related symptoms. This study aims to understand the municipal decision-making process in organising the school’s facilities, in particular, the factors used for decreasing uncertainty around a project.

This study is a case study undertaken through an action research approach. The researchers participated in the project planning meetings concerning the future activities to take place in the building.

Over a 13-month period, multiple stakeholders participated in the project planning meetings providing a deeper understanding of the space demands posed, current challenges and opportunities offered by the existing building. In addition, the alternative solutions generated were evaluated. The problem identification and information gathering periods lasted over nine months, which was far longer than predicted. Thus, generating alternative solutions and evaluation of the solutions also delayed. As the entire process was delayed substantially, the final decision on organising the facilities was not made during this research.

This research may be of practical value for a property owner and a project team for decision-making concerning changed facility demands.

This paper provides information about how public authorities are making decisions on facility organisation during conditions of uncertainty.

Many employers experiment with virtual working modes for project-based work. Virtual internships are one such mode that is gaining increasing popularity worldwide, particularly e-internships that require remote working with employers. However, little is known about the extent to which e-internships present learning opportunities to such e-interns.

The current study examined mentoring experiences among a cross-sectional sample of 158 e-interns working for different companies. Data were collected using an online survey in two data collection rounds.

The length of the e-internships did not increase mentoring satisfaction, but the likelihood of e-interns having a mentor was higher the longer the e-internships. Mentoring was offered irrespective of working hours per week. Mentoring increased reported skill development, particularly in relation to their communication skills and their ability to think strategically about problems. In addition, mentored e-interns were more likely to have opportunities to cooperate with and help others. They likewise had opportunities to share information, knowledge and experiences.

The study recruited interns from various countries. Potentially relevant cultural differences were not explored as part of this study.

The results demonstrate that the benefits of mentoring observed in relation to traditional internships can be fostered in e-internships. E-internships represent an opportunity for managers and employees, regardless of company size, to become mentors. E-internships thus represent another work-integrated as well as work-applied learning and skill development opportunity that creates additional options for many interns and organisations alike.

The evidence suggests that mentoring is becoming a regularly available feature for virtual and temporary workers such as e-interns, many of which are hired for short-term projects. As remote working has become a standard practice, e-internships are on the rise – and worthy of further study in order to promote best practices.

The purpose of this paper is to examine the effect of shocks in the various components of private capital inflows on economic growth in Nigeria using quarterly data in the period 1986Q1–2016Q4.

The study employs the impulse response function and the forecast error variance decomposition of the structural vector autoregression (SVAR) model.

The research result shows that shocks in foreign direct investment (FDI) inflows and portfolio investment inflows have a positive and significant impact on economic growth in Nigeria. In addition, FDIs accounted for significant variation in the growth of the Nigerian economy followed by portfolio investments, while personal remittances exerted the least variation in growth.

The government should promote a favorable macroeconomic environment for existing and potential foreign investors to ensure the continued inflows of FDI and portfolio investment.

The novelty of this study lies in disaggregating private capital inflows and analyzing the effect of the shock of each component on the growth of the Nigerian economy using SVAR.

Consumer ethnocentrism (CE) is a matter of interest for marketers over the decades. However, buying intentions toward domestically produced household electronic products in developing and underdeveloped countries have not been examined sufficiently. Hence, this study investigated the consumers' ethnocentrism and attitude toward domestically-produced household electronic goods. The purpose of this study is to examine the influence of consumer demographic attributes on ethnocentrism and its moderating effect on choosing domestically produced household electronic goods in the context of Bangladesh.

Primary data have been collected from a sample of 172 respondents using a mall-intercept survey. Consumers' ethnocentrism level has been measured using CETSCALE on a five-point Likert scale. ANOVA and t-test were performed to compare different demographic groups regarding ethnocentrism levels. This study also applied the qualitative method by applying a manual approach.

The result shows that consumers' ethnocentrism levels do not vary with gender and income level. However, other demographic attributes, like occupation, age and education level, play a considerable role in CE tendency.

The study is one of the few that examines the consumers' ethnocentrism and attitudes toward electronic products produced in a developing country. The researchers expect that the outcome of the study would contribute to the domestic manufacturer focusing more rigorously on producing electronic products that would be accepted locally as well as globally.

This paper aims to explore the intellectual structure shaping the circular economy (CE) discourse within the built environment in Africa.

The study adopted a bibliometric analysis approach to explore the intellectual structure of CE in the built environment in Africa. The authors collected 31 papers published between 2005 and 2021 from the Scopus database and used VOSviewer for data analysis.

The findings show that there are six clusters shaping the intellectual structure: demolition, material recovery and reuse; waste as a resource; cellulose and agro-based materials; resilience and low-carbon footprint; recycling materials; and the fourth industrial revolution. The two most cited scholars had three publications each, while the top journal was Resources, Conservation and Recycling. The dominant concepts included CE, sustainability, alternative materials, waste management, lifecycle, demolition and climate change. The study concludes that there is low CE research output in Africa, which implies that the concept is either novel or facing resistance.

The data were drawn from one database, Scopus; hence, adoption of alternative databases such as Web of Science, Google Scholar and Dimensions could potentially have yielded a higher number of articles for analysis which potentially would result in different conclusions on the subject understudy.

This study made a significant contribution by articulating the CE intellectual structure in the built environment, identified prominent scholars and academic platforms responsible for promoting circularity in Africa.

Due to the constantly increasing competitiveness along with the complexity of knowledge, firms perceive collaboration as a key strategy that preserves firms' radical innovation performance. In this context, this paper aims to examine how firms’ partners’ diversity in open innovation activities influences the development of radical innovations, critical for social development. In particular, this study analyzes how the functional and geographical breadth of the firm’s collaboration portfolio affects its radical innovation performance. Furthermore, it also explores the role of firm size as a moderator in the relationships proposed.

This research employs panel data analysis, using a sample of 4,677 Spanish firms, with data sourced from the PITEC database.

The results of this study show that there is an inverted U-shaped relationship between the functional and the geographical breadth of collaborations and the firms’ radical innovation performance. Moreover, this study finds partial support for the moderating role of firm size, in the sense that small and medium-sized enterprises (SMEs) and large firms vary in their optimal number of diversity of partners.

This research provides a better understanding on how partners’ functional and geographical diversity, along with organizational characteristics such as firm size, affect how firms benefit from collaboration for innovation. This study shows that both SMEs and large firms experience diminishing returns when their collaboration networks become overly diverse in pursuit of radical innovation, due to increased costs. However, in SMEs, the turning point occurs at a later stage, consistent with the idea that small firms need broader functional networks to access complementary and novel resources they usually lack.

The purpose of the study is to analyse municipal solid waste (MSW) disposed of in Jimeta-Yola metropolis for landfill gas (LFG), methane and project viability potential.

The data was collected daily from landfills for four weeks. About 7,329.55 Mg/year of waste was analysed. These waste were separated into bio-degradable components i.e. paper and textile (263.66 Mg), non-food organic (681.45 Mg), wood and straw (189.50 Mg) and food and kitchen waste (1797.20 Mg). Non-degradable components include plastics, polythene bags, metals, sand, stones, cans etc. (4397.73 Mg). The component's characteristics such as a number of samples, weight, volume, landfill age etc. were measured. The waste, methane (CH4) and energy potential were also analysed using LFG energy cost model.

The landfills received 15 Gg/year of MSW and emit 0.31 Gg/year of LFG having CH4 content of 82.95 Mg in 2016. These can produce 33.78 GWh of heat energy equivalent to 10.14 GWh of electricity analytically. Therefore, between 2016 and 2022, about 2.24 Gg CH4 and 5201.32 MWh of electricity were wasted. Henceforth, proper management of these waste substances can produce 186.4 Gg CH4 which will generate 432.52 GWh of electricity. The most economically viable project is an electricity project generating 418 kW/year at a sale price of $1.14/kWh (58.38/kWh) and a payback period of 11 years.

Raw LFG collected can be used in heating brick kilns, boilers, furnaces and greenhouses. When treated, the LFG can produce renewable natural gas (RNG), which is used in energy generation and various domestic, vehicle and industrial applications.

The analytical energy generation can provide gross revenue of ₦19.46bn at an average of ₦192.71million/year. Using Landfill Gas Emissions Model (LandGEM) model, the gross and net revenue will be $0.42m and $0.28m yearly, respectively. The project can provide jobs and economic boost to the immediate community through associated ripple effect.

The research is a pre-feasibility study for LFG to gas or electricity projects in Jimeta-Yola. The study contributed to the body of knowledge as a source of literature for further studies locally and globally.

This paper aims to assess the current and future dynamics of land cover transitions and analyze the vegetation conditions in Abuja city since its establishment as the capital of Nigeria in 1991.

A random forest classifier embedded in the Google Earth Engine platform was used to classify Landsat imagery for the years 1990, 2001, 2014 and 2020. A post-classification comparison was used to detect the dynamics of land cover transitions. A hybrid simulation model that comprised cellular automata and Markovian was used to model the probable scenario of land cover changes for 2050. The trend of Normalized Difference Vegetation Index was examined using Mann–Kendall and Theil Sen’s from 2014 to 2022. Nighttime band data from the National Oceanic and Atmospheric Administration were obtained to analyze the trend of urbanization from 2014 to 2022.

The findings show that built-up areas increased by 40%, while vegetation, bare land and agricultural land decreased by 27%, 7% and 8%, respectively. Vegetation had the highest declining rate at 3.15% per annum. Built-up areas are expected to increase by 17.1% between 2020 and 2050 in contrast with other land cover. The proportion of areas with moderate vegetation improvement is estimated to be 15.10%, while the proportion of areas with no significant change was 38.10%. The overall proportion of degraded areas stands at 46.8% due to urbanization.

The findings provide a comprehensive insight into the dynamics of land cover transitions and vegetation variability induced by rapid urbanization in Abuja city, Nigeria. In addition, the findings provide valuable insights for policymakers and urban planners to develop a sustainable land use policy that promotes inclusivity, safety and resilience.