Customer Jobs Research Articles

ANALYSIS OF SERVICE BUSINESS GROWTH AND MARKETING STRATEGIES USED IN THE DIGITAL TECHNOLOGY ERA DURING THE COVID-19 PANDEMIC

In the current era of the COVID-19 pandemic, people are expected to be able to engage directly in the digital world. As done by PT. Sucofindo Medan. Continuous technological innovation is the company's obligation to be able to compete with competitors. Therefore, PT. Sucofindo Medan must update the marketing strategy used. The aim of this research is to analyze the growth of the service business and marketing strategies used in the digital era during the COVID-19 pandemic at PT. Sucofindo. The theory used is to look at the company's Value Preposition which is connected to the marketing mix indicator. Based on the research results, it is known that the application of Value Preposition becomes a company evaluation based on the Customer Profile indicator, namely Customer Jobs, pains, and gains, which explain the desires and obstacles felt by consumers. The company provides solutions for Product and Services indicators, Gain Creators and Pain Relievers. The combination of Value Preposition Marketing Mix on company promotion indicators can be improved by developing many applications that can help potential customers, one of which is KSO-SCISI, which is able to monitor orders, receive payments, and accommodate customer feedback so that service is more optimal.

ANALISIS PROFIL KONSUMEN PADA USAHA FERRY CATERING DI MASA PANDEMI

The economic impact of the Covid-19 pandemic has been felt globally by various businesses, one of which is the Ferry Catering culinary business, which caters for big events. Turnover has dropped dramatically where the biggest contribution to Ferry Catering was wedding catering which is not running smoothly as it used to be due to the pandemic. Thus, Ferry Catering plans to focus on daily catering. The purpose of this research is to find out whether customers in the daily segment exist and can be used as one of the segments that can be served by Ferry Catering during this pandemic period to replace the previous lost revenue by formulating customer jobs, pains, and gains through the Value Proposition Design approach by Alexander Osterwalder. Used a descriptive qualitative method that conducts interviews, non-participant observation, and documentation. The final result of this research is what consumers do, namely buying food out, seeking information through friends' recommendations. Things that disturb consumers, namely worrying about the protocol that the catering services do, the menu does not vary. Then for things that customers want are the catering price according to quality, strong packaging so that it is not easily contaminated with viruses

Optimal performance of parallel-server systems with job size prediction errors

Modern communication networks integrate distributed computing architectures, in which customers are processed in parallel. We show how to minimize the waiting time of customer's jobs by leveraging a simple threshold-based job dispatching policy. The optimal policy leverages the SITA routing, which assigns jobs to servers according to the size of the job. Moreover, the optimal policy permits to optimize system performance even when the job size is not known a priori and is estimated by means of error-prone predictors.

ANALISIS PROFIL KONSUMEN UNTUK PEMBUATAN APLIKASI INDEKOS DENGAN PENDEKATAN DESAIN PROPOSISI NILAI

They are seeing the development of internet users in Indonesia which is growing rapidly. This is the basis for the emergence of applications that can facilitate the community in doing their work. One of them is doing work in terms of finding a homestay, especially in the student segment. The phenomenon found, the information offered is incomplete and the absence of services to help move goods. This study aims to determine the consumer profile which includes perceptions and expectations for the homestay application customer segment, namely students, so that it can be a reference for creating value propositions that are relevant for homestay applications. The study uses a qualitative approach that is descriptive. Data collection techniques used include interviews, observation, and documentation. In this study, the design of a consumer profile consists of three parts, namely customer jobs, customer science, and customer gains in the Value Proposition Design taken from Alexander Osterwalder and Yves Pigneur. In this study, generated perceptions and expectations of consumers of boarding room applications, among others, requires complete information, a lot of boarding references, there are features of ratting, booking, and chat forums, as well as there are goods transport services.

The Concept of ‘Roadmapping Service’: Exploring Customer Perspectives of Roadmapping through the Service Lens

AbstractRoadmapping has been addressed as a management approach used to support strategic and innovation planning of organisations over recent decades. This paper introduces a new standpoint for addressing roadmapping through the application of service theories as a way for tackling the demand for the digitalisation of roadmapping. To this end, the concept of roadmapping as a service offer is developed and employed to analyse three customer perspectives of roadmapping: owners and sponsors, team members, and facilitators. Based on a literature review and interviews with roadmapping experts, customer jobs, pains, and gains are described for each of the perspectives. In the end, the paper provides insights for the understanding of the concept of roadmapping service and opens opportunities for further theoretical and empirical developments around this new path. These results are part of a broader research project exploring the digitalisation of roadmapping.

Resource optimised workflow scheduling in Hadoop using stochastic hill climbing technique

Hadoop on datacentre is a popular analytical platform for enterprises. Cloud vendors host Hadoop clusters on the datacentre to provide high performance analytical computing facilities to its customers, who demand a parallel programming model to deal with huge data. Effective cost/time management and ingenious resource consumption among the concurrent users, must be the primary concern without which the key aspiration behind high performance cloud computing would suffer. Workflows portray such high performance applications in terms of individual jobs and dependencies between them. Workflows can be scheduled on virtual machines (VMs) in datacentre to make best possible use of resources. In the authors' earlier work, a mechanism to pack and execute the customer jobs as workflows on Hadoop platform was proposed which minimises the VM cost and also executes the workflow jobs within deadline. In this work, the authors try to optimise certain other parameters such as load on cloud, response time for workflows, resource usage effectiveness by applying soft computing methods. Stochastic hill climbing (SCH) is a soft computing approach used to solve many optimisation problems. In this study, they have employed the SHC approach to schedule workflow jobs to VMs and thereby optimise the above mentioned multiple parameters in cloud datacentre.

Highly reliable architecture using the 80/20 rule in cloud computing datacenters

Cloud datacenters host hundreds of thousands of physical servers that offer computing resources for executing customer jobs. While the failures of these physical machines are considered normal rather than exceptional, in large-scale distributed systems and cloud datacenters evaluation of availability in a datacenter is essential for both cloud providers and customers. Although providing a highly available and reliable computing infrastructure is essential to maintaining customer confidence, cloud providers desire to have highly utilized datacenters to increase the profit level of delivered services. Cloud computing architectural solutions should thus take into consideration both high availability for customers and highly utilized resources to make delivering services more profitable for cloud providers. This paper presents a highly reliable cloud architecture by leveraging the 80/20 rule. This architecture uses the 80/20 rule (80% of cluster failures come from 20% of physical machines) to identify failure-prone physical machines by dividing each cluster into reliable and risky sub-clusters. Furthermore, customer jobs are divided into latency-sensitive and latency-insensitive types. The results showed that only about 1% of all requested jobs are extreme latency-sensitive and require availability of 99.999%. By offering services to revenue-generating jobs, which are less than 50% of all requested jobs, within the reliable subcluster of physical machines, cloud providers can make their businesses more profitable by preventing service level agreement violation penalties and improving their reputations.

Value Proposition Canvas: Identification of Pains, Gains and Customer Jobs at Farmers' Markets

Value Proposition Canvas: Identification of Pains, Gains and Customer Jobs at Farmers' Markets

Three trips around the innovation track: an interview with Clayton Christensen

PurposeInterviews Professor Clayton Christensen, who has authored or co‐authored three groundbreaking books that together frame the daunting problems that managers must confront when they lead innovation initiatives.Design/methodology/approachStrategy & Leadership contributing editor, Dan Knight, asked Christensen about the finding of his research and its implications for managers.FindingsMost managers are not familiar with Christensen's contention that leading companies fail after only a few decades at the head of the pack because they rely on two conventionally accepted concepts: listen to your best customers and focus investments on the products with high profit margins. Companies that pay exclusive attention to their current top customers and ignore the first minute signals of disruptive forces emerging in their market will not adopt innovation that will make them successful long‐term.Research limitations/implicationsChristensen alludes to his research methodology and suggest that it is superior to that of most observers of the innovation process. A comparative study would be valuable.Practical implicationsChristensen suggests that organizations segment their markets by “customer jobs to be done” in order to identify new growth opportunities. He explains why when you are growing, innovation proves to be a lot easier than when you stop growing. Another nugget: “being a serial disrupter means that on a regular and rhythmic basis you launch new disruptive innovations when you don't really need new growth.”Originality/valueWhile all of Christensen theories have been explained in his books, many managers are likely still unfamiliar with the many practical implications of his unconventional wisdom. The interview serves as a lucid introduction to ideas like managing disruptive innovation.

Vehicle routing problem with time windows and a limited number of vehicles

This paper introduces a variant of the vehicle routing problem with time windows where a limited number of vehicles is given ( m-VRPTW). Under this scenario, a feasible solution is one that may contain either unserved customers and/or relaxed time windows. We provide a computable upper bound to the problem. To solve the problem, we propose a tabu search approach characterized by a holding list and a mechanism to force dense packing within a route. We also allow time windows to be relaxed by introducing the notion of penalty for lateness. In our approach, customer jobs are inserted based on a hierarchical objective function that captures multiple objectives. Computational results on benchmark problems show that our approach yields solutions that are competitive to best-published results on VRPTW. On m-VRPTW instances, experiments show that our approach produces solutions that are very close to computed upper bounds. Moreover, as the number of vehicles decreases, the routes become more densely packed monotically. This shows that our approach is good from both the optimality as well as stability point of view.