The Effects of Multisiting on Productivity and Quality

Author(s):  
Diwas KC ◽  
Sokol Tushe

Problem definition: In the modern workplace, it is increasingly common for workers to concurrently attend to tasks across multiple physical locations. However, frequent site switching can lead to increased setup and overhead costs. Specifically, workers expend significant time and cognitive effort getting reoriented with personnel, operating processes, tools, and resources whenever they switch sites. In this paper, we look at the productivity and quality implications of multisite work. Academic/practical relevance: Although multisite workplace deployment is increasingly common, its impact on people operations has not been examined in the operations management literature. We contribute to the literature by studying the effect of multisiting on individual worker productivity and quality of output. Methodology: To estimate the effect of multisite operations on performance, we turn to a setting where multisite worker assignment is common—that of physicians who have admitting privileges at multiple hospitals. We collected detailed data on individual physicians practicing in 83 hospitals between 1999 and 2010. Our extensive data set includes detailed operational and clinical factors associated with more than 950,000 patient encounters. Our empirical analysis takes the form of a panel, where we follow a given physician over time and link short-term multisiting to patient-level outcomes. Results: We find that multisiting negatively impacts productivity. Specifically, for each additional site at which a physician works, we observe a 2% increase in patient length of stay. For each site served, the likelihood of a patient developing a complication increases by 3%. Greater travel distance between sites and lack of focus at a given site explain the performance declines due to multisiting. In addition, we find that the performance declines resulting from multisite operation are reduced among low-complexity patients and among highly experienced physicians. Managerial implications: Multisite performance losses need to be traded off against the potential benefits. The negative effects of multisiting can be mitigated by limiting multisite deployment to simpler tasks and among highly experienced physicians. Managers can decrease switching costs of multisite work by standardizing workflows, processes, and tools across sites. In addition, the practice of multisite work can be limited to sites that are physically proximate to avoid the overhead costs associated with excessive travel.

Author(s):  
Lifei Sheng ◽  
Christopher Thomas Ryan ◽  
Mahesh Nagarajan ◽  
Yuan Cheng ◽  
Chunyang Tong

Problem definition: Games are the fastest-growing sector of the entertainment industry. Freemium games are the fastest-growing segment within games. The concept behind freemium is to attract large pools of players, many of whom will never spend money on the game. When game publishers cannot earn directly from the pockets of consumers, they employ other revenue-generating content, such as advertising. Players can become irritated by revenue-generating content. A recent innovation is to offer incentives for players to interact with such content, such as clicking an ad or watching a video. These are termed incentivized (incented) actions. We study the optimal deployment of incented actions. Academic/practical relevance: Removing or adding incented actions can essentially be done in real-time. Accordingly, the deployment of incented actions is a tactical, operational question for game designers. Methodology: We model the deployment problem as a Markov decision process (MDP). We study the performance of simple policies, as well as the structure of optimal policies. We use a proprietary data set to calibrate our MDP and derive insights. Results: Cannibalization—the degree to which incented actions distract players from making in-app purchases—is the key parameter for determining how to deploy incented actions. If cannibalization is sufficiently high, it is never optimal to offer incented actions. If cannibalization is sufficiently low, it is always optimal to offer. We find sufficient conditions for the optimality of threshold strategies that offer incented actions to low-engagement users and later remove them once a player is sufficiently engaged. Managerial implications: This research introduces operations management academics to a new class of operational issues in the games industry. Managers in the games industry can gain insights into when incentivized actions can be more or less effective. Game designers can use our MDP model to make data-driven decisions for deploying incented actions.


2020 ◽  
Vol 22 (4) ◽  
pp. 717-734 ◽  
Author(s):  
Yiwei Chen ◽  
Ming Hu

Problem definition: We study a dynamic market over a finite horizon for a single product or service in which buyers with private valuations and sellers with private supply costs arrive following Poisson processes. A single market-making intermediary decides dynamically on the ask and bid prices that will be posted to buyers and sellers, respectively, and on the matching decisions after buyers and sellers agree to buy and sell. Buyers and sellers can wait strategically for better prices after they arrive. Academic/practical relevance: This problem is motivated by the emerging sharing economy and directly speaks to the core of operations management that is about matching supply with demand. Methodology: The dynamic, stochastic, and game-theoretic nature makes the problem intractable. We employ the mechanism-design methodology to establish a tractable upper bound on the optimal profit, which motivates a simple heuristic policy. Results: Our heuristic policy is: fixed ask and bid prices plus price adjustments as compensation for waiting costs, in conjunction with the greedy matching policy on a first-come-first-served basis. These fixed base prices balance demand and supply in expectation and can be computed efficiently. The waiting-compensated price processes are time-dependent and tend to have opposite trends at the beginning and end of the horizon. Under this heuristic policy, forward-looking buyers and sellers behave myopically. This policy is shown to be asymptotically optimal. Managerial implications: Our results suggest that the intermediary might not lose much optimality by maintaining stable prices unless the underlying market conditions have significantly changed, not to mention that frequent surge pricing may antagonize riders and induce riders and drivers to behave strategically in ways that are hard to account for with traditional pricing models.


2020 ◽  
Vol 22 (5) ◽  
pp. 1045-1065 ◽  
Author(s):  
Nirup Menon ◽  
Anant Mishra ◽  
Shun Ye

Problem definition: Innovation contest platforms are often organized around specific fields and host contests that span a variety of interdependent problem domains. Whereas contestants may benefit from related experience in contests whose problem domains share an interdependency with the focal problem domain, it is unclear whether the benefits of related experience arise symmetrically from upstream experience (i.e., experience in problem domains that provide input information to the focal problem domain) and downstream experience (i.e., experience in problem domains that use output information from the focal problem domain) or differ among them. Academic/practical relevance: Given that innovation contest platforms serve to effectively match contest problem requirements with contestants’ skills, it is important to understand how a contestant’s prior experience on a platform contributes to her problem-solving performance. Our research provides a more granular examination of the benefits of related experience than what has been examined in prior studies on individual learning or innovation contests. Methodology: We collected detailed archival data from TopCoder, a leading innovation contest platform that hosts contests across multiple interdependent software development problem domains, from its launch in 2001 to September 2013. Our data set comprises detailed participation histories of 821 contestants in 3,274 contests across eight interdependent problem domains involving 8,985 observations. Results: Whereas a contestant’s related experience on the innovation contest platform is more positively associated with her focal contest performance compared with unrelated experience, the benefits of related experience arise only from downstream experience. That is, there are no significant performance benefits of upstream experience. Furthermore, the performance benefits of downstream experience are greater when the contest duration is shorter, highlighting its role in enabling more efficient search and problem solving in innovation contest platforms with interdependent problem domains. Managerial implications: Contrary to the notion of “hyperspecialization,” our findings suggest that contestants can reap benefits from diversifying their experience into downstream problem domains on innovation contest platforms. Furthermore, innovation contest platforms could facilitate such targeted diversification of contestant experience by developing more granular metrics of contestant experience across problem domains. Our findings also have implications for resource allocation and job rotation decisions in software development projects within firms.


Author(s):  
Ruth Beer ◽  
Hyun-Soo Ahn ◽  
Stephen Leider

Problem definition: Giving out a symbolic “supplier of the year” or “outstanding supplier” award can be beneficial for a buyer as it may incentivize a supplier to exert higher efforts. However, when a good supplier is scarce, the award announces which supplier is particularly good and may increase the cost of building and maintaining the relationship. This paper studies both positive and negative effects of a symbolic award and offers explanations on underlying behavioral mechanisms. Academic/practical relevance: We show that symbolic awards can effectively incentivize suppliers to provide high effort, improving a buyer’s bottom line. This is particularly relevant in cases in which certain aspects of a buyer–supplier relationship are not contractible and suppliers have discretion over the quality provided. The award format significantly influences the award’s effectiveness. Methodology: We develop a game-theoretical model that captures a supplier’s utility for the award in a competitive setting and test the predictions of the model with laboratory experiments. Results: Our experimental results confirm that private symbolic awards have motivating effects and lead to higher buyer profits. When the awards are public, this profit premium diminishes as buyers pay higher prices to get the good suppliers. When the buyer is given the option to make the award public or private, buyers prefer that awards are public over private, anticipating a negative supplier response to their choice of the private award format. Managerial implications: Expressing praise or gratitude for a supplier’s efforts can be highly beneficial for a buyer. However, when there is scarcity of good suppliers, buyers should expect increased competition and accompany the award with efforts to preserve the relationship. Finally, if buyers choose to offer a distinctive award format, private recognitions may be perceived as greedy or self-interested and backfire.


2015 ◽  
Vol 44 (2) ◽  
pp. 120-137 ◽  
Author(s):  
Ashley Vissing

This study explores factors driving tract-level heterogeneity in the quality of leases executed by property owners who transfer their mineral rights to firms that drill for and extract natural gas. The data set consists of tract-level aggregates of lease terms, our measures of lease quality, and tract-level census data from the leases. We find that higher-quality leases are negatively correlated with higher concentration of minority households when controlling for census-tract-level characteristics. Based on the findings, we propose policies to reduce observed heterogeneity in the quality of leases and, subsequently, to reduce residents' exposure to negative effects of nearby well sites.


Author(s):  
Djan'na H. Koubodana ◽  
Bernd Diekkrüger ◽  
Kristian Näschen ◽  
Julien Adounkpe ◽  
Kossi Atchonouglo

The results reveal CILSS as the most accurate data set with a Kappa coefficient of 68% and an overall accuracy of 83%. CILSS data shows a decrease of savanna and forest whereas an increase of cropland over the period 1975 to 2013. The increase of cropland area of 30.97% from 1975 to 2013 can be related to the increase in population and their food demand, while the losses of forest area and the decrease of savanna are further amplified by using wood as energy sources and the lack of forest management. The three datasets were used to simulate future LULC changes using the Terrset Land Change Modeler. The validation of the model using CILSS data for 2013 showed a quality of 50.94%, it is only 40.04% for ESA and 20.13% for Globeland30. CILSS data was utilized to simulate the LULC distribution for the years 2020 and 2027 because of its satisfactory performances. The results show that a high spatial resolution is not a guarantee of high quality. The results of this study can be used for impact studies and to develop management strategies for mitigating negative effects of land use and land cover change.


Author(s):  
Xiaojia Guo ◽  
Yael Grushka-Cockayne ◽  
Bert De Reyck

Problem definition: Airports and airlines have been challenged to improve decision making by producing accurate forecasts in real time. We develop a two-phased predictive system that produces forecasts of transfer passenger flows at an airport. In the first phase, the system predicts the distribution of individual transfer passengers’ connection times. In the second phase, the system samples from the distribution of individual connection times and produces distributional forecasts for the number of passengers arriving at the immigration and security areas. Academic/practical relevance: To our knowledge, this work is the first to apply machine learning for predicting real-time distributional forecasts of journeys in an airport using passenger level data. Better forecasts of these journeys can help optimize passenger experience and improve airport resource deployment. Methodology: The predictive system developed is based on a regression tree combined with copula-based simulations. We generalize the tree method to predict distributions, moving beyond point forecasts. We also formulate a newsvendor-based resourcing problem to evaluate decisions made by applying the new predictive system. Results: We show that, when compared with benchmarks, our two-phased approach is more accurate in predicting both connection times and passenger flows. Our approach also has the potential to reduce resourcing costs at the immigration and transfer security areas. Managerial implications: Our predictive system can produce accurate forecasts frequently and in real time. With these forecasts, an airport’s operating team can make data-driven decisions, identify late passengers, and assist them to make their connections. The airport can also update its resourcing plans based on the prediction of passenger flows. Our predictive system can be generalized to other operations management domains, such as hospitals or theme parks, in which customer flows need to be accurately predicted.


Author(s):  
Dávid Losonci

A lean termelési rendszer munkásokra gyakorolt hatásaival foglalkozó irodalomban nincsen egyetértés annak megítélésében, hogy a hatásokban a negatív vagy pozitív hatások dominálnak-e. A szerző tanulmánya ehhez a vitához a pszichológiai, egészségügyi, munkahelyi jellemzőkre és a dolgozói elégedettségre vonatkozó eredmények áttekintésével kapcsolódik. A munkások elégedettségének vizsgálata arra utal, hogy a lean termelési rendszer egyszerre növeli és csökkenti is az elégedettséget, így az összességében nem változik más termelési rendszerekhez képest. A lean termelés kritikusai azt hangsúlyozzák, hogy a többi tényező negatívan hat a munkásokra. Megállapításaik megalapozottsága a nagyon kevés empirikus munka miatt megkérdőjelezhető. Ugyanakkor a tevékenységmenedzsment kutatói érdemben nem tudják cáfolni a stressz, a sérülések és betegségek kockázatának növekedését és a munka intenzívebbé válását. A negatív hatások és a várt pozitív hatások hiányának kiemelése felveti, hogy a munkavállalók bevonásán alapuló lean termelési rendszer nehezen ültethető át a gyakorlatba, illetve hogy a lean termelés intenzifikáción alapuló modellje is elterjedt. _____________ This literature review contributes to the debate related to the effects of lean production on workers. The study reviews different dimensions of the debate and focuses on issues like worker’s satisfaction, psychological effects, health and safety aspects, and workplace characteristics. Findings of researches reviewed in this paper cannot confirm that from workers’ point of view lean production is better than other production initiatives. Lean production enhances and decreases worker’s satisfaction at the same time, altogether, the satisfaction of workers does not change significantly compared to other systems. The negative impact of the other factors (psychological etc.) on workers is usually emphasized in the critique of lean production. Although, the limited number of (empirical) studies doubts these critical voices. However, Operations Management can not reject negative effects like increasing level of stress, increased risks of health and safety problems or intensification of work. The emphasis of the negative effects and the lack of positive effects can refer to the difficult employment of lean involvement system, or simply reflect that the model of lean intensification system is widely spread.


Author(s):  
C. Gizem Korpeoglu ◽  
Ersin Körpeoğlu ◽  
Sıdıka Tunç

Problem definition: We study the contest duration and the award scheme of an innovation contest where an organizer elicits solutions to an innovation-related problem from a group of agents. Academic/practical relevance: Our interviews with practitioners at crowdsourcing platforms have revealed that the duration of a contest is an important operational decision. Yet, the theoretical literature has long overlooked this decision. Also, the literature fails to adequately explain why giving multiple unequal awards is so common in crowdsourcing platforms. We aim to fill these gaps between the theory and practice. We generate insights that seem consistent with both practice and empirical evidence. Methodology: We use a game-theoretic model where the organizer decides on the contest duration and the award scheme while each agent decides on her participation and determines her effort over the contest duration by considering potential changes in her productivity over time. The quality of an agent’s solution improves with her effort, but it is also subject to an output uncertainty. Results: We show that the optimal contest duration increases as the relative impact of the agent uncertainty on her output increases, and it decreases if the agent productivity increases over time. We characterize an optimal award scheme and show that giving multiple (almost always) unequal awards is optimal when the organizer’s urgency in obtaining solutions is below a certain threshold. We also show that this threshold is larger when the agent productivity increases over time. Finally, consistent with empirical findings, we show that there is a positive correlation between the optimal contest duration and the optimal total award. Managerial implications: Our results suggest that the optimal contest duration increases with the novelty or sophistication of solutions that the organizer seeks, and it decreases when the organizer can offer support tools that can increase the agent productivity over time. These insights and their drivers seem consistent with practice. Our findings also suggest that giving multiple unequal awards is advisable for an organizer who has low urgency in obtaining solutions. Finally, giving multiple awards goes hand in hand with offering support tools that increase the agent productivity over time. These results help explain why many contests on crowdsourcing platforms give multiple unequal awards.


2021 ◽  
Vol 2 (5) ◽  
pp. 28-43
Author(s):  
Bac Truong Cong ◽  
Doan Van Hoang

This study aims to understand the relationship between the quality of public administration and the rate of profitable enterprises by locality in Vietnam in the period 2015 - 2019. With a combined data set from two sources including The first is the Provincial Competitiveness Index (PCI) dataset jointly implemented by the Vietnam Chamber of Commerce and Industry (VCCI) with the support of the United States Agency for International Development (USAID) in Vietnam, the second is the "White Book of Vietnamese Enterprises" compiled and published annually by the General Statistics Office of Vietnam. Combined with panel data estimation method to assess the impact of public administration quality indicators on the rate of profitable enterprises by locality. Research results show that there exists a relationship between the quality of public administration and the rate of profitable enterprises. Especially the indicators of Entry Costs, Policy Bias, and Labor and Training have both positive and negative effects with very strong statistical significance.


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