scholarly journals Novel Service Efficiency Evaluation and Management Model

2021 ◽  
Vol 11 (20) ◽  
pp. 9395
Author(s):  
Mingyuan Li ◽  
Lung-Yu Lin ◽  
Kuen-Suan Chen ◽  
Ting-Hsin Hsu
Keyword(s):  
Innovation Management ◽  
Operation Time ◽  
Management Model ◽  
Point Estimate ◽  
Efficiency Evaluation ◽  
Sampling Errors ◽  
Control Block ◽  
Operation Efficiency ◽  
Service Efficiency ◽  
Service Operation

Numerous scholars have invested in the research of service innovation management, hoping to find a more objective and scientific service efficiency evaluation and management model so as to stride forward towards the goal of smart innovation management. In the service operating system, the multi-workstation service operation is one of the common service operation models. Some studies have pointed out: apart from a good service attitude, the service operation time of each workstation is a key factor which measures the performance of the workstation’s service operation. Therefore, this paper proposed a standardized concept with a service operation efficiency evaluation index. This index is not only convenient and easy-to-use, but it also has a one-to-one mathematical relationship with the performance achievement rate. Next, the radar evaluation chart was employed to evaluate the service efficiency of each workstation. First, according to the upper confidence limit and the required value of the index, the minimum value (MV) of the index estimator was derived and marked on each radar line; at the same time, all MVs were connected to form a control block. When the point estimate of the index does not fall into the control block of the radar chart, it represents that the service operation efficiency of the workstation has not reached the required level, so it needs to be improved. Because this model can directly compare the point estimate of the index with the MV, it can judge whether the service operation efficiency reaches the required level. In this way, the advantage of simple and easy-to-use point estimate can be maintained, and the risk of misjudgment caused by sampling errors can be reduced as well, which is helpful for the service industry to move towards the goal of intelligent innovation management. This method is not only applied to the performance evaluation of the multi-workstation service operation process but also applicable to the performance evaluations of other service operations.

scholarly journals Representative variables of marketing and trading based innovation management model

DYNA ◽  
2017 ◽  
Vol 84 (200) ◽  
pp. 351-355
Author(s):  
Javier Darío Fernández-Ledesma ◽  
Santiago Duque
Keyword(s):  
Innovation Management ◽  
Management Model

Este artículo tiene como objetivo unir las variables representativas de las actividades de marketing y comerciales, con las variables empleadas para estructurar y dirigir un proceso de innovación como parte del modelo de gestión. Este es un modelo general que puede ser adaptado a cualquier industria con el fin de garantizar la sostenibilidad económica a largo plazo a través del impacto en las ventas del producto. Este artículo presenta las variables en un contexto global con aspectos de innovación. La investigación mostró que las variables de contexto están controladas por el medio ambiente y se encuentran en el núcleo del modelo de gestión de la innovación como un mecanismo de retroalimentación que permite establecer una revisión temprana y adecuada sobre la política de las organizaciones, lo cual se traduce en ajustes mayores en los procesos operativos; tales cambios promueven innovaciones disruptivas con el fin de adaptar el producto a un nuevo patrón de consumo con el fin de lograr la sostenibilidad de la empresa.

scholarly journals OPERATION EFFICIENCY EVALUATION OF THE ELECTROTECHNICAL COMPLEX OF BRANCH POWER LINES

2020 ◽  
Vol 8 (3) ◽  
pp. 071-076
Author(s):  
S. V. Sidorov ◽  
◽  
I. S. Sukhachev ◽  
V. V. Sushkov ◽  
V. R. Antropova ◽  
...  
Keyword(s):  
Power Lines ◽  
Efficiency Evaluation ◽  
Operation Efficiency

Актуальность повышения эффективности организации и проведения ремонтно-восстановительных работ воздушных линий электропередачи при грозовых воздействиях связана с необходимостью повышения бесперебойности эксплуатации электротехнического комплекса отходящих линий. Для этого требуется решение задачи повышения эффективности технического обслуживания электротехнического комплекса отходящих линий путём внедрения средств диагностирования повреждений его элементов (переходом на обслуживание по техническому состоянию объекта). Критерием эффективности технического обслуживания может являться величина коэффициента готовности электротехнического комплекса. Получены временные зависимости коэффициента готовности и вероятностей нахождения электротехнического комплекса отходящих линий в каждом из рассмотренных состояний,что позволит принимать решения о технических мероприятиях, направленных на предотвращение материальных потерь в процессе эксплуатации воздушных линий электропередачи и потребителей электрической энергии, в том числе решения, связанные с мониторингом динамики риска, модернизацией электрооборудования, применением средств защиты от перенапряжений. Показано, что переход на обслуживание по техническому состоянию электротехнического комплекса отходящих линий с применением средств диагностирования повреждений позволит увеличить на 11.7% коэффициент готовности, вследствие повышения эффективности технического обслуживания.

scholarly journals The Psychology of Queuing for Self-Service: Reciprocity and Social Pressure

2018 ◽  
Vol 8 (4) ◽  
pp. 75 ◽  
Author(s):  
Hanyeong Kim ◽  
Yun Lee ◽  
Kun Park
Keyword(s):  
Social Pressure ◽  
Negative Behavior ◽  
Service Usage ◽  
Electronic Products ◽  
Operation Efficiency ◽  
Customer Interaction ◽  
Service Operation ◽  
Usage Behavior ◽  
Long Time ◽  
Self Service

Many services are provided in the form of self-service. In self-service, customers simultaneously become the sole producer and a consumer of a service. Using a scenario-based experiment, we examine the psychology of queuing for self-service, and how inter-customer interaction affects service operation efficiency. We assumed that customers could decide how long they would use a service, and that length of usage increases the value of the service, such as in experience stores where customers try out newly released electronic products. Subjects decide how long they will use a service under different conditions of waiting time and social pressure. We found that generalized reciprocity influenced decisions on service time. Customers who had waited for service for long time chose to use the service for long time when it became their turn, and vice versa—subjects reciprocated the previous customer’s service usage behavior. We also show that the presence of social pressure affects customers’ service usage behavior. Under social pressure, customers tend to reciprocate the negative behavior of a previous customer less.

Haier’s Tao of innovation: a case study of the emerging Total Innovation Management model

2006 ◽  
Vol 32 (1-2) ◽  
pp. 27-47 ◽  
Author(s):  
Qingrui Xu ◽  
Ling Zhu ◽  
Gang Zheng ◽  
Fangrui Wang
Keyword(s):  
Innovation Management ◽  
Management Model
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