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Temporal consumption experiences have been conceptualised as universal, subjective or practice-based experiences. Little research, though, addresses such experiences in conjunction with the repeated and situational consumption events that bring them about. The purpose of this paper is to extend current knowledge by examining how the temporal and situational intertwine during consumption events. For this purpose, the concept of a consumption timecycle based on the research data is constructed.

The paper takes a longitudinal and researcher-led approach to study temporal consumption experiences. The data was collected through participant observations, video recordings and personal subjective introspections during three consecutive annual Nordic motorcycle consumer trade shows (2014–2016). The data was analysed using an interpretive approach.

The results demonstrate five temporalities that characterise a consumption timecycle as follows: emerging, core, intensifying, fading and idle-time temporalities. The features of these temporal experiences are presented in the conclusions section of the paper.

Recalled temporal experiences are mediated experiences and they differ from lived experiences. The transferability or generalisability of the results might be limited, as the case is situated in the Nordic context.

The paper presents the novel concept of a consumption timecycle that extends current debates about consumer time. The consumption timecycle is contrasted with established temporal concepts in consumer and marketing research.

The purpose of this paper is to highlight the particularities of the time consumption of transactions performed in an insurance firm and the prospective impact on costing.

This paper uses the results of an archival study conducted on data collected in an insurance firm.

The results suggest that the reasons underlying the heterogeneity of transactions’ time consumption are multiple and rule out a systematic and unique explanation. They lend support to the importance of the “human effect” in explaining the time consumption of service transactions and support the need for more research into the evolution of marketing thought that subordinates the concept of transaction to the concept of relationship. In addition, our results not only suggest that the drivers of time consumption and their importance are contingent on the type of service activity performed within the same firm, but also that inside a generic service activity, deviations in time consumption remain due to the provision of specific services.

Services have their own characteristics which make it difficult to trace their resource consumption. Yet limited research has focused on examining the impact of services’ characteristics on predicting costs. Our findings contribute to our understanding of such impact and cast doubt on the possibility of obtaining accurate costs for very detailed transactions for an acceptable cost-benefit trade-off.

This study aims to examine how the temporal aspect of service consumption impacts the emotions that are created within consumers during service encounters.

The authors adopted mobile phone or ‘SMS’ diaries to capture the emotions that participants experienced at the very moment they were being felt or ‘in-vivo’. The study included thirteen different services including both ‘brief’ and ‘extended service transactions’.

The study suggests that the temporal perspective is a dominant cause of consumption emotions in services, influencing consumers’ emotions from before the service encounter commences to its conclusion and, in some cases, beyond the conclusion of the service event. Other antecedents of consumption emotions such as interactions with staff and the servicescape are influenced by and interwoven with this temporal aspect. By capturing emotions as they were experienced, recall difficulties that might have been encountered had the emotions been measured retrospectively were eliminated, allowing the researchers to construct a comprehensive account of the chronology and contiguity of the emotions created within consumers during service encounters.

Although certain aspects of time such as the consequences of queuing and waiting have been addressed in the services marketing literature, a detailed understanding of how time impacts consumption emotions in services from the start to the conclusion of service encounters has not been undertaken to date. This research addresses that gap by examining how the temporal perspective influences not only consumption emotions in customers per se but how it also influences other causes of consumption emotions that customers encounter during service transactions.

This paper argues that there is a need to theorize socially constituted temporal phenomena, such as the fragmentation and multiplication of futures in media representations of technology, since this contextualizes consumption in important ways.

However, this argument requires a critique of agentic bias in phenomenological approaches to time. By drawing on Husserl, Heidegger and Ricœur, it is shown that phenomenological time is fundamentally intersubjective and contextualized in a tension between chronological and experienced time, rather than first and foremost created and felt by the individual consumer subject or experienced only as “flow.” This implies a switch from an egological to a sociological approach to time and consumption.

Thus, the multiplication of socially constituted narratives about the future, in late-modernity, disrupts instrumental modes of thinking about the consumer object, making it “unhandy” and “disturbing.” The meaning of the object therefore becomes “damaged.” However, this also allows the possibility for it to be known in wholly new ways.

Since many definitions of consumption are future oriented, the fragmentation of the future speaks to how we form meanings about consumption. Thus, a socially constituted theory of consumer temporality impacts the experience of consumer objects.

This theorization of time and consumption suggests the possibility of comparative studies of temporality to understand the universe in which consumer choices can unfold.

This is the first attempt to apply the epistemological criteria from the context of context debate in regard to consumer temporality.

The purpose of this paper is to calculate the fuel consumption and emissions of carbon monoxide (CO), nitrogen oxide (NO_x) and hydrocarbons (HC) in the taxi-out period of aircraft at the International Diyarbakir Airport in 2018 and 2019.

Calculations were performed by determining the engine operating times in the taxi-out period with the flight data obtained from the airport authority. In the analyses, aircraft series and aircraft engine types were determined, and the Engine Exhaust Emission Databank of the International Civil Aviation Authority (ICAO) were used for the calculation.

Total fuel consumption in the taxi-out period in 2018 and 2019 was calculated as 525.64 and 463.69 tons, respectively. In 2018, HC, CO and NO_x emissions caused by fuel consumption were found to be 1,109, 10,668 and 2,339 kg, respectively. In 2019, the total HC, CO and NO_x emissions released to the atmosphere during the taxi-out phase are 966, 9,391 and 2,126 kg, respectively. B737 Series aircraft have the largest share in total fuel consumption and pollutant emissions.

This study explains the importance of determining fuel consumption and pollutant emissions by considering engine operating times in the taxi-out period. The study provides aviation authorities with scientific methods to follow in calculating fuel consumption and emissions from aircraft operations.

The originality of this study is the calculation of fuel consumption and pollutant emissions by determining real-time engine running times in the taxi-out period. In addition, calculations were made with real engine operating times determined in the taxi-out period using real flight data.

The purpose of this paper was to determine the effect of route optimization on travel distance, travel time and fuel consumption of municipal solid waste (MSW) collection trucks.

The study modeled the existing waste collection routes in three local authorities in Ghana and proposed optimal routes using Esri’s ArcGIS Network Analyst Extension. The system generated optimal distances and times were validated by subjecting collection trucks to the optimal routes. Paired sample t-test was used to analyze the differences in means of the existing and optimal outcomes. The collected data were subjected to correlation and uncertainty analyses.

Results from the study indicated that weekly travel distance reduced by 81.27 km, translating into saving of 4.79 percent when trucks used the optimal routes. Travel time and fuel consumption reduced by 853.59 min and 145.86 L, making savings of 14.21 and 10.81 percent, respectively. Significant differences occurred between the means of the existing and optimal routes for travel time and fuel consumption, for each of the three local authorities.

The study was conducted in Ghana using data collected from three local authorities.

Significant reduction of MSW collection cost can be achieved by waste management practitioners through route optimization.

The effect of route optimization on travel distance, travel time and fuel consumption has been established. Statistical analyses of the existing and optimal outcomes of the three local authorities have been provided. The findings from this study support the hypothesis that optimal routes reduce operating cost through savings in travel distance, travel time and fuel consumption.

The purpose of this paper is to study consumer engagement as a dynamic, iterative process in the context of TV shows. A theoretical framework involving the central constructs of brand actions, customer engagement behaviors (CEBs), and consumption is proposed. Brand actions of TV shows include advertising and firm-generated content (FGC) on social media. CEBs include volume, sentiment, and richness of user-generated content (UGC) on social media. Consumption comprises live and time-shifted TV viewing.

The authors study 31 new TV shows introduced in 2015. Consistent with the ecosystem framework, a simultaneous system of equations approach is adopted to analyze data from a US Cable TV provider, Kantar Media, and Twitter.

The findings show that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, but a negative effect on live viewing; tweets posted by the TV show (FGC) have a negative effect on time-shifted viewing, but no effect on live viewing; and negative sentiment from tweets posted by viewers (UGC) reduces time-shifted viewing, but increases live viewing.

Content creators and TV networks are faced with the daunting challenge of retaining their audiences in a media-fragmented world. Whereas most studies on engagement have focused on static firm-customer relationships, this study examines engagement from a dynamic, multi-agent perspective by studying interrelationships among brand actions, CEBs, and consumption over time. Accordingly, this study can help brands to quantify the effectiveness of their engagement efforts in terms of encouraging CEBs and eliciting specific TV consumption behaviors.

Assembly lines are one of the places where energy consumption is intensive in manufacturing enterprises. The use of robots in assembly lines not only increases productivity but also increases energy consumption and carbon emissions. The purpose of this paper is to minimize the cycle time and total energy consumption simultaneously in parallel robotic assembly lines (PRAL).

Due to the NP-hardness of the problem, A Pareto hybrid discrete firefly algorithm based on probability attraction (PHDFA-PA) is developed. The algorithm parameters are optimized using the Taguchi method. To evaluate the results of the algorithm, a multi-objective programming model and a restarted simulated annealing (RSA) algorithm are used.

According to the comparative study, the PHDFA-PA has a competitive performance with the RSA. Thus, it is possible to achieve a sustainable PRAL through the proposed method by addressing the cycle time and total energy consumption simultaneously.

To the best knowledge of the authors, this is the first study addressing energy consumption in PRAL. The proposed method for PRAL is efficient in solving the multi-objective balancing problem.